eBook

This eBook explores the use cases for AI in treasury management and corporate finance, as well as the barriers preventing mass adoption of the technology. These technologies are applicable in cash and liquidity management,...

This eBook explores the use cases for AI in treasury management and corporate finance, as well as the barriers preventing mass adoption of the technology. These technologies are applicable in cash and liquidity management, payments fraud detection, documentation of treasury processes, and more. AI/ML Today While artificial intelligence (AI) and machine learning (ML) have gradually worked their way into everyday life in treasury and finance, but we’ve only scratched the surface of their potential. It’s important to understand that AI and ML are not technically the same thing. While the terms are often used interchangeably, they are two distinct technologies. AI is a broader term denoting intelligent machines that can simulate human thinking capability and behavior. ML, in contrast, is an application or subset of AI that enables machines to learn from data without additional programming.1 What makes AI so powerful now, as opposed to just a few years ago? The simple answer is data. We have so much more now than ever before. Both companies and consumers are using a host of applications that generate mass amounts of data, and with the right systems in place, that data can be transformed for better decision-making. Data scientists train AI models on historical data. Next, they run new data through the trained AI model to make much more informed predictions. Such models are incredibly useful for treasury and finance, which have had to make rapid adjustments in recent years to keep organizations running. Applying AI in Treasury Management and Finance With applications proliferating across so many areas, as well as the connectivity that banks and technology providers are building through APIs, treasury and finance departments have more data at their fingertips than ever before. But processing all of that data manually is nearly impossible. That’s where AI comes in. Technology providers train AI models on data that is extracted from operational applications and placed in a central repository. These can vary and have different advantages. Data warehouses store data in hierarchal dimensions and tables. Data lakes, in contrast, store massive amounts of raw data, storing it in flat architectures to allow users more freedom for data management.2 Unlike robotic process automation, which can only replicate processes, AI models can analyze data and identify trends and patterns in a fraction of the time that humans can.3 This allows for much faster and complete conversion of raw data into meaningful information that treasury and finance departments can use. AI models can be used for various treasury functions such as cash forecasting, payments fraud detection, and working capital optimization. For example, AI can drastically improve receivables management. As noted in a recent AFP Treasury in Practice Guide, a technology company’s accounts receivable (AR) team was struggling to manually process over 2,500 monthly checks, leading to major delays. Realizing that it needed to make a change, the AR team worked with its banking partners to implement an machine learning-enabled receivables solution. The solution automated the manual gathering, consolidation and formatting process that the AR team had been doing every morning, allowing most payments to process within two days. Furthermore, over time, the machine continues to learn from exceptions, improving accuracy. It has also provided the AR team with more opportunities to increase electronic payments adoption. How Machine Learning Works for Treasury Payments Fraud Detection Modern payments fraud detection software uses AI to screen payments against historical payment data pulled from a data source. All the characteristics of payments—the payment amounts, payment types, the number of payments, where they’re going, etc.—reside within that data source. A machine then analyzes that data, which enables it to identify anomalies in future activity. A number of different models can be used to pinpoint those anomalies. One of the most effective is an isolation forest methodology. This model compares all the different variables in the data source against new payments to determine the normality of those payments. Any payment that has an unusually high abnormality rank is flagged and set aside for further review. Machine learning solutions can even show users that variable comparison, providing them with insights into how that normality/abnormality rank is calculated. Users can even set their own levels for abnormality tolerance. Companies that work in industries that are high targets for fraudulent activity might want a very low abnormality tolerance, whereas organizations that are less at risk might want to set it much higher so that minor anomalies won’t disrupt payment activity. Additionally, workflows can be embedded to swiftly resolve anomalies. Real-Time Screening, Alerts and Notifications The rise of same-day and real-time payment systems has increased the need for real-time responses to fraud attempts. Modern fraud detection software uses AI/ML to screen payments against historical payment data, pinpointing any anomalies. By providing more complete data, these solutions enable data-driven decision-making. Solutions can flag any abnormal payments, providing insights into the variables that determine payment normality. Generative Adversarial Networks The lack of data around fraud can be a problem for AI models. Training AI models can thus be challenging because the algorithms often can only learn from good payments and, at best, a handful of bad ones. Generative adversarial networks (GANs) can solve this problem. GANs are deep learning models that pit two separate neural networks against each other. One network mixes real data and synthetic data together and attempts to outwit the opposing network. By training fraud detection models on these competing networks, fraudulent transactions can be more easily identified in real data. Cash Forecasting Manual processes persist in treasury, even with the advent and evolution of technologies like AI. Many treasury departments continue to rely on Excel, even though it can produce highly inaccurate cash flow forecasts that can negatively impact the business. Organizations can increase the accuracy of their short-term cash forecasts with AI-based tools that learn from the history of cash flows and continuously improve inflow projections over time. With deeper analysis of this data, organizations can better predict cash flows by season or region, which in turn reduces efforts for key functions like accounts payable by, anticipating free cash flow closing, and adjusting the payment campaign budget. AI/ML users also can select what companies, currencies and cash flow types to include, as well as adjust the forecasting period to align on short-term payment/funding/investment decisions. With interest rates increasing, treasury teams can optimize liquidity by reducing their maximum idle cash while also minimizing the risk and cost of overdraft. Treasury will be able to determine how much of its budget it can allocate towards certain expenditures over a period of time, or whether it will need to borrow funds to make certain payments. AI tools can factor in multiple variables and errors found in historical data to better estimate cash inflows and outflows over the next seven days. This allows treasury to determine how much of its budget it can allocate towards certain expenditures over that time period, or whether it will need to borrow funds to make certain payments. Soon, as these tools accumulate more data, they will be able to make predictions on mid- and long-term horizons. Check out Kyriba's latest AI-powered cash forecasting module: Cash Management AI to see how AI in treasury management can already be used fluently for short-term cash forecasting. ChatGPT and Generative AI in Treasury Management ChatGPT has become a popular generative AI app, in part because of a $10 billion partnership with Microsoft. ChatGPT is well known for its natural language processing chatbot abilities that answer any question. Yet the real opportunity for ChatGPT and generative AI is to change the way we interact with online software applications, including online search and business applications like ERP and treasury management systems (TMS). ChatGPT can also be used within a TMS where the user gives instructions to the system using keywords or questions. With a user experience (UX) that has been optimized for natural language processing, the TMS can respond to basic queries such as “What is my exposure to the Yen?” or more complex requests, including “What caused the variance in my forecast last week?”. Treasury may also find this technology to be useful in documenting treasury processes and procedures. Documentation and how-to manuals take time and effort to compile. Fortunately, ChatGPT and similar generative AI models can do all the writing for you after being fed a minimum amount of information. Take Action The demands of today, and tomorrow, dictate that CFOs and treasurers must act. While pervasive economic hardships and rising global inflation may make it difficult for companies to justify spending on new technology, they are facing massive challenges if they don’t adjust to the pace of the modern business world. Rest assured; if your peers aren’t investing in this technology yet, they will be soon. Many companies have also stockpiled their cash reserves throughout the pandemic — now is the time to begin spending some of that cash on tech enablers, one good area to look into being AI in treasury management. Treasury teams would be wise to look for a trusted partner as they explore possible use cases of AI in treasury management. There are technology providers with teams of data experts and portfolios of treasury apps available. Many tools are already in production and require minimal effort on the part of the company. As we emerge from the pandemic—a time when companies were focused primarily on survival—the focus now needs to be on growth. As more data becomes available, growth will come from those organizations that are able to harness that data and turn it into useful applications. Others will drown in it and fall behind. With AI in treasury management to assist the human, treasury teams can ensure that they are positioning their organizations for success. Related Resources Javapoint: Difference Between Artificial Intelligence and Machine Learning TechTarget: Data Lake AFP: Identifying Value for Treasury: Automation, Machine Learning & Artificial Intelligence PYMNTS Intelligence: How Payments Automation and Digitization Can Reduce Errors and Streamline Transactions Gartner: Success With AP Invoice Automation Requires More Than Paper to Digital ERP News: Automation for Business Intelligence Kyriba: 15-Minute Guide to Payment Hubs Want to see how AI in treasury management improves cash forecasting? Join Kyriba's upcoming monthly live demo sessions. An on-demand demo session is available here.

Cash is still king — but the value of cash and forecasted liquidity held or planned by the company can only be realized via cash visibility, when the treasurer knows what cash is available,...

Cash is still king — but the value of cash and forecasted liquidity held or planned by the company can only be realized via cash visibility, when the treasurer knows what cash is available, where it is held and what flows are expected in the future. However, all too often, treasurers do not have access to their organization’s full cash picture. There are many good reasons for working with multiple banks across different markets, but complex banking structures and sprawling geographical footprints can make it difficult to achieve complete cash visibility into current balances, never mind impacting the accuracy of cash and liquidity forecasting. Luckily, achieving full cash visibility over cash is not an insurmountable goal. This eBook outlines the action plan treasurers can take to gain full visibility over their cash, from gaining a clear view of current bank accounts to increasing the accuracy of the cash forecast. "More than a quarter of global cash is not visible to corporate treasury on a daily basis.” Source: PWC’s Global Treasury Benchmarking Survey   What is Cash Visibility? Cash visibility is critical to making effective decisions. Armed with clear visibility over the company’s current cash position and future liquidity flows, treasurers can: Invest cash strategically Support the CEO, CFO in strategic initiatives with the right levels of cash and liquidity Use cash management structures effectively Minimize debt and interest expense Make better informed hedging decisions Reduce bank fees Bolster treasury’s reputation within the organization Key Vocabulary Cash Visibility means knowing what cash the company currently has and where it is held. It also means being able to predict what cash the company will have in the future. Cash Budgeting generally performed by FP&A, is more focused beyond one year and has an increased emphasis on free, cash-flow guidance. The reconciliation of indirect budget-based forecasts with direct cash flow forecasts are increasingly managed quarterly. Cash Positioning is concerned with today and often the next five business days. The purpose is to manage daily liquidity to ensure shortfalls are covered and surpluses are concentrated to earn some yield on excess cash. Cash and Liquidity Forecasting typically extends cash positioning with horizons anywhere from one week to one year. Forecasting leverages multiple data sources to increase confidence in the projected liquidity balances so that better cash decisions can be made. Why is Cash Visibility Important? Cash visibility is the lifeblood of any organization. A company that has clear visibility can invest or deploy cash strategically while minimizing debt and interest expenses. Accurate visibility also increases the effectiveness of hedging decisions and enables the treasurer to mitigate their organization’s risk to exposures while supplying the CFO with funding in support of strategic initiatives. Conversely, a lack of clear visibility can result in numerous issues, including: Insufficient buffer of surplus cash to absorb unforeseen expenses Idle cash, lower returns on investments Insufficient return on cash Higher than necessary borrowing costs Unnecessary bank fees and costs Inadequate support for CFO strategic decision-making Less competitive results and less effective treasury organization as a partner for finance Related Resource Unreliable cash visibility and forecasting is the treasury issue that causes CFOs the most concern. "The top benefits of using Kyriba are the visibility that it provides, the timeliness with which it provides that visibility, and the ease of use, in that it provides it all in one simple one-stop shop.” TRISH FISHER Director, Treasury Operations, WeWork The Path to Cash Visibility Whether the treasurer is seeking to pay down external borrowing or maximize return on investments, the first step is to know what cash is currently available. But that’s not all, treasurers also need to be able to predict future liquidity flows and keep the right people informed. Achieving cash visibility is possible by using 5 definitive steps to move towards greater cash visibility and flexibility: Identify and Record Without an inventory of your banks and accounts, a complete cash visibility picture is unattainable. Prioritize and Rationalize Identify where to begin, difficult regions or banks, and determine accounts for closure. Automate Bank Connectivity and Reporting Harness the most costeffective and leading connectivity methods to access data from banks in an automated way. Generate and Streamline Cash Positioning with Liquidity Forecasting Accurately predict cash flows over the coming hours and days, and match actuals to forecasts to speed up daily reconciliation and cash application. Enhance and Optimize Future Cash Flow with Liquidity Planning The ability to see a holistic, aggregated view of cash and liquidity sources creates more accurate views and predictable free cash flow. Knowing your predictable liquidity creates a better understanding of any future liquidity shortfalls. Step One: Identify and Record Regardless of the scale and breadth of your organization’s banking and accounts structure, it is important to understand the banking landscape of all business units and subsidiaries. Whether operating in a domestic or international capacity, banking relationships. the accounts, the purpose of those accounts, and the core attributes of the bank, the accounts and their purpose all are necessary to begin a cash visibility project. This has many implications for the success of global cash visibility projects, such as: Establishing a full inventory of managed accounts, ensuring all balances are identified Ensuring the proper scope and prioritization of your project Optimization and rationalization across banks and accounts Effective comparisons and evaluations across banks for technical capabilities for connectivity, tech, regional coverage and other important services An effective bank relationship and bank account management database is the starting point for successful projects, but particularly when it comes to cash reporting. Where cash is rolling up in concentration or pooling structures, how funds are being transferred, purpose of the accounts, and even regulatory limitations all have a say in how you engage with your banking partners and the extent of cash flexibility. Step Two: Prioritize and Rationalize Bank reporting rationalization ensures accounts are identified and open for the right reasons. Often, particularly in international or more complex organizations, accounts are opened in haste to support business development and decisions. This is often necessary for statutory purposes, or to deal with an unforeseen acquisition or reorganization. However, if this situation exists, it’s possible cash and liquidity is not well defined or identified, as well. Organizations must understand and rationalize accounts, prior to moving into the next ‘step’, but this can continue throughout the project in parallel, too. The focus here is on creating a streamlined, but effective banking and account structure that fulfills treasury’s mission of safeguarding and optimizing cash, while still meeting specific business unit or subsidiary’s requirements. Bank improvements in reporting quality as well as the leading application of configuration within leading treasury management systems, creates the scenarios where previously opened, special-purpose accounts are no longer required to serve special purposes such as revenue, collections, treasury, or payables accounts. With banks being able to provide significantly improved quality of liquidity information within bank statements and other special purpose reports, and the speed of that data increasing through APIs, some companies can conduct business with one or two bank accounts per legal entity, business unit or country office. The focus here is on creating a streamlined, but effective banking and account structure that fulfills treasury’s mission of safeguarding and optimizing cash, while still meeting specific business unit or subsidiary’s requirements. Step Three: Automate Bank Connectivity and Reporting Visibility over multiple accounts requires automated bank connectivity. Companies of all sizes are often challenged in finding and implementing the right bank connectivity solution and is a critical driver of lack of visibility into cash. On the surface, bank connectivity is easy, so long as treasury teams prioritize the following: Security Automation Speed and Cost There are a variety of connectivity options to deliver security, automation and cost objectives. Yet, not all connectivity options are alike. Bank connectivity comes in a number of different forms, including: Host-to-host solutions, such as FTP, or leading practice connections using application programming interfaces (APIs) Country or region-specific protocols such as EBICS, Editran, Zengin Global cooperatives like SWIFT , which offer flexibility to manage your own connectivity or use a service provider and fully managed service bureaus The ideal connectivity solution for an organization will actually depend on factors such as bank and payment transaction volumes, bank account structures, and the location of company banks. These characteristics — in combination with what technologies the banks can (and prefer) to support — will drive the ideal connectivity choices. In practice, a combination of connectivity methods is likely the best solution to optimize costs while maintaining automation and security. Without utilizing varying connectivity methods, the company may spend more than necessary and potentially sacrifice information transparency. While managing multiple connectivity methods on your own may seem complex, connectivity-as-aservice models gives organizations faster global access to banks with pre-configured and existing connections. This coverage of the connective landscape for banks saves effort and time spelling big cost savings for the project phase as well as ongoing productive operations. When you select the right vendor to simplify bank connectivity by taking care of everything — from building connections, monitoring availability, and delivering automation all while providing new technology like APIs, organizations win and save money. Step Four: Generate and Streamline Cash Positions and Liquidity Forecasts The goal of cash positioning is to establish a realtime view of cash at any point in time and to be able to reconcile prior-day forecasts to enable the deployment of cash throughout the organization more quickly and accurately. Effective cash positioning reduces idle cash, creating opportunities to earn immediate yield while providing certainty over risk exposures that cash is exposed to. As a process, cash positioning involves gaining a real-time view of the company’s cash position at any moment in the current day(s) by consolidating a number of different sources and replacing old data with more up-to-date information. With today’s APIs gaining the real-time, near-instantaneous view of cash and liquidity is easier than ever. Within treasury technology, building the cash position typically involves combining a number of data sources: Prior-day balance — automatically downloaded from banks at the start of the day Current-day bank reporting — automatically downloaded from banks throughout the day, either at specific times (e.g., 1st or 2nd presentment) or as a constant stream of data via an API Expected payables and receivables — from the organization’s ERP and reported/cleared from bank statement details Treasury financial transactions and settlements — which are integrated within the treasury system Building a cash position is just the start. After building a cash position, it is then necessary to maintain and reconcile it. Maintaining the cash position involves updating and replacing cash flow data with more accurate information via intra-day updates from internal systems and banks. Reconciliation of the cash position is the matching of actuals to forecast flows, which is often done first thing in the morning as a part of typical treasury processes. The goal is to identify and understand surprises — for example, if a transaction did not happen yesterday then it may happen today, meaning the unreconciled variance needs to be rolled into today’s position. For many organizations, this process can be time consuming, so rules-based automation or artificial intelligence can be introduced to simplify the process. Key requirements for cash positioning include interactive dashboards and clear communication within — and outside of the treasury organizations: Interactive dashboards enable cash managers to drill down through multiple levels into any component of the cash position. Positions should be viewable by multiple dimensions in real-time by line item, bank, entity, currency, etc. Communication within and outside of treasury is critical. The treasurer, CFO and finance personnel managing subsidiaries all require cash visibility, so delivering visual and detailed reconciled cash positions is a critical outcome of daily cash positioning. Effective cash positioning and liquidity planning leads to numerous benefits for the finance organization: Keeping the CFO and the Board up to date with reliable and accurate cash position information Mobilizing cash across the organization for funding and investment purposes Enabling cash management processes such as pooling, sweeping and intercompany borrowing Optimizing interest income and expense via better informed borrowing and lending operations Reducing external borrowing by using internal cash resources effectively Step Five: Enhance, Optimize and Predict Cash and Liquidity While cash positioning can be used to predict cash flows in the coming hours and days, cash forecasting with liquidity planning information creates more accurate, longer horizons beyond weeks, extending into months, years. Cash forecasting must not only be accurate, but predictive using more historical and current data to be truly effective. Without complete confidence in projected forecasts, the cash forecast cannot support treasury in improving cash utilization. Cash forecasting is needed to help treasury invest cash over longer maturities, secure borrowing to fund operations and make more effective hedging decisions. And confidence in the cash forecast is the difference between achieving these outcomes and hoping to do so. So why do so many companies struggle to achieve an accurate forecast? Common challenges include a lack of accurate data sources, lost results from past forecasts, ineffective methodologies and a lack of alignment with performance metrics. If a forecast isn’t reliable, treasury is unable to trust it and therefore cannot use the cash forecast to make critical decisions. It is crucial to incorporate data sources from treasury, like financial transactions along with all the normal P2P and O2C cycle flows from the ERP Cash forecasting and Liquidity Planning creates future views of anticipated free cash flow and helps all of finance from FP&A to the CFO better strategic accuracy in decision-making. Identify, Find the Data Consolidate the Information Measuring Forecast Accuracy Predictive Analytics: Optimize Your Forecast Find the Data: Collaborating with Other Teams Forecasting incorporates key data points from elsewhere in the business so that effective collaboration can be administered between AP, FP&A, IT and regional controllers who own valuable forecasts data and/or administer systems to enhance forecast visibility. This collaboration is essential in making sure everyone involved knows what they are expected to provide with executive oversight to ensure that collaboration is prioritized. Consolidating Forecast Data Automating the integration of forecast data into a single system of record is the next critical factor in achieving effective forecasting. In many cases, source data may come from various ERP modules or in some cases other special purpose systems like procurement or revenue recognition/accounts receivable. In the past and in some situations, spreadsheet data to augment or provide coverage for areas or business units without systems could be a source, too. While consolidating data into a single system could be an IT-intensive exercise, best practice is to eliminate the need for internal IT resources, reducing the cost and time required to integrate systems. This can be done by having pre-built connectivity and integration through APIs provided by your treasury system. Measuring Forecast Accuracy The final piece of cash forecasting is to measure the accuracy of the cash forecast at a detailed level. Measuring forecast performance is critical to understanding how effective each line item and source of information was, offering valuable insight into where the forecast can be improved. This analysis must be done at a detailed level. For example, measuring accuracy before and after a 90-day/13- week period can hide many anomalies and offers no meaningful conclusions. Many organizations will measure week over week, while some will drill down at a daily level. Once accuracy is measured, the treasury team must implement a feedback loop to effect meaningful change. Regional controllers, for example, can only improve if presented with detailed facts. Further, standardized KPIs — that ideally would form a component of performance reviews and compensation calculations — go a long way in reinforcing desired forecast behavior. This is where commitment from the CFO will drive effective forecast performance. Optimize: Predictions for your Cash and Liquidity Once the foundation is established for forecasting your liquidity with the prior steps, the next level naturally leads to identifying the technology solution that will offer your organization and team the support and improvements for your liquidity forecasting. Technology can do more to provide value through expanding the horizon of your forecast, depth of insight, accuracy, and enhanced user experience with information already within your organization’s grasp. Through tools that leverage artificial intelligence companies today should be more advanced and be capable of: Create predictive dashboards and enhanced reporting Cash forecasts with risk models built-in Identify optimum cash cushion, draw-down levels, and investment levels Characteristics to look for when evolving and upleveling your forecasting efforts should include looking to solutions using AI-based predictive analytics for forecasting including calculations based on risk models that give treasury and FP&A teams the optimal cash cushion. Additionally, look for solutions giving you: Cash flow by level of confidence Recommendations for optimal investment strategy Predict liquidity requirements To successfully deploy an AI-driven predictive forecasting model, organizations must prepare structured and normalized historical data. Machine learning algorithms will identify patterns within the data to make predictions about when, for example, customers will actually remit payment. This AI-predicted data stream will align with other forecast data sources to deliver a more intelligent cash forecast to predict future liquidity needs. Human interaction remains important to ensure liquidity forecasting and planning aligns with internal risk policies of the team and organization. AI is a tool to complement, rather than replace, treasury teams as they execute more complex tasks and processes. In this role, AI is a critical piece in the drive to towards real-time treasury decision making and the progressions towards 24/7 liquidity management. Optimizing Cash Visibility Benefits Achieving full cash visibility takes time and effort, but the rewards are significant. Armed with a complete, accurate and up-to-date picture of the current cash position and liquidity planning flows, treasurers can: Make timely and confident decisions about activities, including investments, borrowing, cash concentration and hedging Pay down external borrowing with a clearer view of the cash available Invest strategically with a clear picture of current and future flows Reduce bank fees by closing or combining redundant bank accounts or negotiating with banks from a position of knowledge Minimize debt and interest expense by making the best use of internal cash and reducing external borrowing Gain a clearer picture of risk exposures and manage those risks more effectively Optimize planning of borrowing and lending operations Increase effectiveness of hedging by ensuring decisions are based on complete pictures of current balances and planned future transactions Cash Visibility – Final Thoughts The future of treasury technology is here and advancing rapidly; some banks have deployed their own APIs to integrate with their customers’ systems. New platforms are opening new products and services for corporate customers. One of these innovations is the movement towards real-time bank reporting. In many parts of the world, intra-day reporting happens less than twice per day, and in some cases not at all, meaning that daily cash positioning is largely driven by prior-day reporting and expectations of clearings throughout the day. Real-time bank reporting, delivered only by APIs, is the future and will be a game-changer for cash managers looking to achieve instant cash visibility into accounts. Additionally, Liquidity Planning extends the value of real-time treasury with the inclusion of cash, treasury instruments, planning information and liability information to deliver longer range strategic decisions by the CFO. Combined with real-time payments, treasury teams will be in an enviable position of not only having real-time views into bank accounts but also being able to mobilize cash domestically — and eventually cross border — within seconds. The transformation to real-time reporting will further pressure treasury teams to employ the right processes and analysis to effectively manage cash information in real time. It will be a change for those organizations that lack modern treasury technology, but an opportunity for enabled organizations to earn a competitive advantage in the utilization and deployment of cash. How Kyriba Can Help Kyriba can support you in achieving full visibility over cash. Kyriba helps organizations reduce the cost and complexity of bank connectivity — whether a company is connecting via SWIFT, using APIs, leveraging country protocol or using a combination of channels prioritizing security, automation and cost minimization. Organizations can easily keep track of signatories, manage workflows and store documents thanks to the control over all global bank accounts given by Kyriba’s bank relationship management solution. Additionally, companies can maximize the accuracy of their cash and liquidity reporting with Kyriba’s detailed and flexible variance analysis and feedback loop to forecast sources. With a full picture of current balances and future flows, you’ll be better positioned to make confident decisions about cash.   Want to learn more about how to achieve cash visibility for better cash forecasting? Check out this webinar to hear Kelkoo Group, a leading e-commerce company, shares their best practices and the payoffs of superior cash forecasting.

APIs offer a lifeline for CFOs and treasurers who are looking for both innovation and cost improvements. Although many CFOs think of APIs for finance as an expedited pathway for bank connectivity, bank connections...

APIs offer a lifeline for CFOs and treasurers who are looking for both innovation and cost improvements. Although many CFOs think of APIs for finance as an expedited pathway for bank connectivity, bank connections are just the tip of the iceberg. APIs open integration to a variety of systems, including capabilities that vastly improve cash forecasting, liquidity management and payments. APIs offer an information and processing gateway to realizing digital transformation. Unlike FTP, APIs do not require files to be sent or downloaded. Data is exchanged point to point between systems immediately, allowing for instant data transmission and eliminating substantial risk. They enable the development and use of faster, pre-built connectors to reduce implementation times and facilitate real-time payments and security. In this whitepaper, we'll explore: What APIs are and how they work for finance The different types of APIs that are available How APIs can revolutionize ERP connectivity, cash management, liquidity management, payments and more.   CFOs Are Investing Billions CFOs are investing more than ever on enterprise platforms, with organizations spending an estimated $675 billion in 2022, according to Statista. Much of this investment is for organizations to move their enterprise resource planning (ERP) systems to cloud platforms, such as SAP S/4 Hana Oracle Cloud, and Microsoft Dynamics 365 leading the large corporate market. For CIOs looking to effectively support their CFO business partners, connectivity from ERP to internal and external systems and data sets remains a costly challenge, often delaying go-live dates and driving significant cost overruns. APIs open integration to a variety of systems, introducing capabilities and process automation that had not previously been possible. APIs offer an information and processing gateway to realizing digital transformation. What Is an API? An API is a program that allows mulitple pieces of software to “talk” to each other. Applications on your phone and embedded widgets on a website all use APIs to request or deliver information. Why APIs for Finance Matter Gartner research revealed that nearly 50 percent of financial leaders will incorporate a “composable financial management system” by 2024 “to deliver capabilities and outcomes that keep up with the rapid pace of business change.” APIs are enabling that change. They are transforming the way finance leaders consume data and are allowing a coupling of multiple applications that was previously impractical to support, creating a gateway to real-time business intelligence and digital solutions. Unlike file transfer protocol (FTP), APIs do not require files to be sent or downloaded. Data is exchanged point to point between the systems immediately, allowing for instant data transmission and eliminating substantial risk. They enable the development and use of faster, pre-built connectors to reduce implementation times and facilitate real-time payments and security. "With APIs for finance, your platforms evolve from being systems of record to systems of engagement,” said Bob Stark, Global Head of Market Strategy at Kyriba. “Your platform is connected with any number of internal and external systems to be continuously up to date.” Open API Platforms APIs facilitate open networks. Using developer portals, technology providers can build applications on top of the API provider’s platform. Open banking is a perfect example. The Revised Payments Services Directive (PSD2) in 2018 helped to make APIs even more relevant for corporate treasury and finance. The EU Directive requires banks to open their platforms to payment technology providers – with APIs being a leading solution to manage this compliance. Although PSD2 only applies to the European Union, similar initiatives in other regions also quickly emerged as banks in the United States and throughout APAC have recognized the opportunity to offer real-time, data-driven services to corporate clients. "The PSD2 movement has really encouraged banks to start to open APIs for corporates.” —Felix Grevy, VP of Product, Open API and Connectivity for Kyriba A common frustration among treasury and finance leaders is a lack of centralized visibility across multiple departments, liquidity and payments. Open API platforms act as a conduit between disparate teams and systems, allowing for real-time connections to apps, data, and new products and services. Open API platforms reduce manual processes, and deliver composable technology solutions, enabling corporate and bank users to inject data-driven decision-making into every financial operation. APIs for Bank Connectivity It’s important to note that banks and technology solutions providers that are managing open platforms are not replacing legacy formats like FTP and SWIFT with APIs. Instead, they are offering APIs as a complement to these formats. Following the advent of PSD2, European banks have begun using “premium” APIs, which are APIs with greater functionality. "The difference between the PSD2 APIs and premium APIs is that premium APIs are more powerful,” Grevy said. “You can retrieve balances and do instant payments. And they are much more secure, and much more appropriate for integration with an ERP or treasury management system (TMS).” Banking services optimized via API vary, some examples include: Bank Groups Branch Reporting Bank Account Groups Cash and Cash Flow Reporting However, the rollout has been slow. Most banks are not using APIs in live production yet, and many of the ones that do use APIs only offer them for certain real-time services—meaning that multiple connectivity options are needed to fully support a treasury and finance team. Furthermore, most technology vendors only offer no functionality beyond bank connectivity and can only connect one ERP to a bank. Nevertheless, API connectivity brings key advantages over a file-based approach, such as immediate response from banks, and the ability to receive new data and notifications in real-time. So while adoption may be slow and gradual, the advantages to the end user are clear. ERP Connectors ERP platforms like SAP, Oracle and MS Dynamics have major efforts to develop and embed APIs into a wide array of functions and workflows. Luckily, for IT and Finance functions arent’ required to do the heavy lift; these APIs are plug-and-play and enabling more and more core integrations and reporting capabilities. Cash Management APIs offer organizations the ability to manage cash continuously and in real-time. Rather than relying on batch reporting that is constrained to pre-determined times throughout the day, treasury teams can now access reports as needed. Receiving un-batched, real-time liquidity information greatly improves cash reconciliations, cash application, and accuracy of liquidity overall. This will, in turn, change the mechanics for best-practice cash forecasting and lead to the production of intraday liquidity products, such as hourly investing. Allowing treasury professionals to access their cash outside of previously “normal” hours not only expands the scope in which organizations can leverage their liquidity, but also allows treasury to make greater strategic contributions. APIs also allow treasury and finance to track sufficient movements in and out of the accounts throughout the day. That visibility can help organizations to make significant intraday decisions instead of end of day or overnight. Payments APIs for finance can also streamline the entire payment journey. Instead of relying on batch processes that transmit at several pre-determined times each day, APIs allow payments to be initiated from treasury management systems and ERP systems as needed—even in real time. In fact, real-time payments sometimes require APIs. Simply put, if you want payments to settle instantly, file transfers may not be the best connectivity option to choose. Using File Transfer, bank files are extracted, reformatted, encrypted, and downloaded by the treasury platform—a process that takes five to ten minutes at least. Once balances are known, the process to send and confirm a payment is another five to ten minutes at minimum. APIs, in contrast, can query a bank balance and then send a real-time payment instantly without the transfer of any files. With the rapid increase of both domestic real-time payment systems (The Clearing House’s RTP and FedNow in the U.S.) and cross-border platforms (SEPA Instant, SWIFT Go, and Nexus) APIs are a necessity for businesses who want to deliver instant payments. Leveraging APIs to utilize real-time payments not only revolutionizes the initiation and acknowledgement process, but also the ability to mitigate fraud. While the 2022 AFP Payments Fraud & Control Survey found that business email compromise scams have decreased recently, they are nevertheless still a persistent threat. Since real-time payments don’t afford users the opportunity to identify fraudulent transactions after transmission, fraud mitigation strategies must now be included in the approval process. Building APIs into the payment platform allows users to fully automate bank account validation and payment policy screening, identifying exceptions. Outliers can be flagged and set aside for review, while all other payments travel seamlessly as intended. Creating Flexible Reporting and Information Systems APIs are far more than just connectors to banks and ERPs. APIs can revolutionize the ways in which treasury and finance operate both internally and holistically. APIs offer the ability to create a flexible, custom, data warehouse that could exist within your TMS, as some treasury systems can act as a single source of record. When other systems have limited functionality, your data warehouse can fill the gaps through provision of market data, financial transaction specifics such as portfolio, project or risk-related information to deliver a quick, flexible source of weekly treasury reporting. Regardless of where your data is stored, APIs establish the means to integrate various data sources within a single repository or warehouse. Second, APIs allow treasury and finance to automate beyond task automation, which streamlines the organization’s own capabilities. APIs enable process automation, which simplifies and entire workflow like the entire payment journey. Entire systems and processes can be brought together more easily via APIs. Both automation and the extent of the functional coverage facilitate composable financial management systems. When networks of personalized systems, reports, dashboards, and efficient workstreams are enabled and integrated by APIs, treasury and finance teams can then focus on accelerating innovation and cost-reduction projects. ERPs, while critical, are not the only system requiring strong integration and the exchange of information for stronger decision-making. APIs are the glue that holds all of these components together and APIs change the efficiency and real-time capabilities for treasury and finance leaders. "CFOs and CIOs, hand in hand, are recognizing that we need APIs to bring everything together to accelerate the innovation,” Stark said. “Before APIs, the way that you’re making a composable financial system is by using custom interfaces, manual clicking and logging into systems and, if you’re lucky, a little bit of RPA. APIs are perfectly suited to improve process automation, linking multiple systems and workflows together, because they allow finance teams to build a system of multiple components.” Figure 1. Progression of Hyberautomation Initiatives Source: Gartner 2021 References Information technology (IT) spending on enterprise software worldwide, from 2009 to 2023 2022 AFP Payments Fraud and Control Survey Gartner Identifies the Top Technology Trends That CFOs Should Address Today   Interested to learn more about how APIs for finance will change the way leaders consume and act on information? Check out this webinar where Alex Yang from Bank of America, David Miller from Hunt Companies and Bob Stark from Kyriba demystify APIs' value for payments, intra-day liquidity, ERP integration, fraud detection, cryptocurrencies and more.

Modern fraud threats are innovative and constantly evolving. To confront these threats, organizations that want to survive need to deploy the most up‑to-date detection and prevention solutions.

Modern fraud threats are innovative and constantly evolving. To confront these threats, organizations that want to survive need to deploy the most up-to-date payments fraud detection and prevention solutions. In this eBook, we will explore the most common fraud threats to businesses today and detail the leading, AI-based tools that CFOs and CIOs can use to stop attacks before they happen. We’ll explore the ways that Kyriba solutions protect our customers, and impart that knowledge to you. We'll also look into tools like artificial intelligence and machine learning (AI/ML) and application programming interfaces (APIs) are game changers in the fight against fraud. We understand and use these technologies, and it’s time that you did as well. The Changing Face of Fraud Fraud threats have grown exponentially throughout the COVID-19 pandemic as the remote working environment has left companies struggling to ensure that employees are following strict security protocols. According to a 2022 KPMG survey of over 600 executives, the shift to remote work has increased the risk of fraud, and most companies experienced fraud incidents last year. FRAUD OUTLOOK Source: 2022 KPMG Fraud Outlook The losses that stem from fraud are significant. Respondents reported an average profit loss of 1% from fraud and compliance violations in 2021. And the larger the company, the more criminals will target it. A Need for Corporate Investment and Attention With the pandemic continuing for the foreseeable future and challenging organizations’ ability to operate and staff effectively to counter the ever-increasing fraud threat, it is surprising that over half of the companies surveyed say there will be no changes in their budgets to invest in anti-fraud measures. With less than half of organizations today having a program in place to prevent, detect and respond to fraud, it is evident more focus on greater investments in their protections is called for. CFOs, treasurers and CIOs clearly require a more complete set of defenses in the form of new, leading, automated AI-based fraud detection. Pervasive and Emerging Fraud Threats Business email compromise (BEC) scams continue to plague treasury and finance departments. BEC scams typically begin with an urgent email sent to an employee that appears to come from a senior level official, requesting a money transfer. In actuality, a fraudster has copied a legitimate email address, usually after infiltrating a company’s email system via phishing. A variation of this scam consists of emailed invoices that appear to come from a routine supplier that have new instructions on where to send payment. According to the FBI’s Cyber Division, there was a 5% increase in BEC adjusted losses from 2019 to 2020, with over $1.7 billion losses reported in 2019 and over $1.8 billion losses reported in 2020. Check and wire fraud remains a significant problem for treasury and finance departments, as these are the payment methods most susceptible to fraud. AFP research found that 66% and 39% of financial professionals reported fraud activity via these two payment types in 2020. However, check fraud has been in decline in recent years as fewer organizations are using checks for B2B payments. Deepfake voice fraud is a relatively new method of attack but one that has proven highly effective. This brand of fraud consists of criminals making calls using deepfake voice technology, software that can successfully copy a person’s voice via a small audio sample. COMMON VULNERABILITIES FOR ORGANIZATIONS Deepfake voice fraud caught international attention last year when it was revealed that fraudsters used it to complete a $35 million bank heist. Ransomware attacks, though not technically fraud, are nevertheless prominent threats to companies’ systems and bank accounts and have surged in recent years. In a ransomware attack, a company’s internal system is compromised (usually through phishing) and taken over. Users are instructed to either pay a ransom or permanently lose access to their systems. Ransomware as a service (RaaS) is the latest innovation of this threat; it consists of developers selling or leasing ransomware exploits to customers who then unleash them upon unfortunate victims. Tools to Protect Against Fraud To combat the threats of today, your payments fraud detection and prevention solutions should include these capabilities: Automated payment processes to standardize controls Real-time screening of all payments data to identify suspicious transactions User-defined payments screening rules Resolution workflow to investigate suspicious payments An option to avoid alerting payments users who violated a payments rule Monitoring of the status and priority of alerts in a KPI dashboard Modern payments fraud detection software like Kyriba’s Payments Fraud Detection module offer these solutions and more. Real-Time Screening, Alerts and Notifications The rise of same-day and real-time payment systems has increased the need for real-time responses to fraud attempts. Modern fraud detection software uses artificial intelligence (AI) and machine learning to screen payments against historical payment data, pinpointing any anomalies. By providing more complete data, these solutions enable data-driven decision-making. For example, Kyriba’s Payment Fraud Detection solution determines the normality of each payment—whether automated or manual—flagging any with a low normality rank. The solution provides insights into the variables that determine payment normality, allowing users to see why one or more was deemed anomalous. And perhaps most advantageous for the user is that processes aren’t slowed down in any way, even with greater visibility into payment data. Payments could be flagged as anomalous for a variety of reasons, including: A high number of payments for the same third party Payments with unusually high amounts Payments to blacklisted countries according to company policy Suspicious changes to payments imported from an ERP Payments to a bank account used by several third parties Duplicate payments After testing multiple machine learning models, Kyriba’s data scientists selected two solutions to identify irregularities in payments. Isolation Forest An isolation forest model is an unsupervised algorithm that works on the principle of isolation anomalies; anomalous instances in a dataset tend to be easier to separate from the rest of the sample. In the following example, we can see that anomalies require fewer random partitions to be isolated, compared to normal points: Generative Adversarial Network One problem many machine learning models run into when trying to identify fraud is the lack of data around fraud. Most organizations haven’t experienced significant payments fraud and thus lack the depth of examples to share. Others who may have been the victims of fraud may be reluctant or unable to share the specifics. So, training AI models can be challenging because the algorithms can only learn from good payments and, at best, a handful of bad ones. Generative adversarial networks (GANs) can solve this problem. A GAN is a deep learning model that pits two separate neural networks against each other. One network (the generator) mixes real data and synthetic data together and attempts to outwit the opposing network (the discriminator). Kyriba creates a “fraudster” network (the generator), hiding synthetic fraudulent among legitimate transactions based on a client’s payment history. Then, a “police” network (the discriminator) sifts through the data, separating the illicit transactions from the good ones. By training the fraud detection model on these competing networks, Kyriba can better identify fraudulent transactions when viewing real data. Generative Adversarial Network (GAN) Model Dashboards Dashboards can be set up to display all suspicious payments and prioritize their resolution, based on factors such as detection rules, risk exposure, incident counts and a fraud detection scorecard. Dashboards provide authorized users with complete transparency into all payment screening and can resolve outstanding actions efficiently. Fraud Prevention Workflows Modern payments fraud detection modules also support fully automated, end-to-end workflows for the resolution of outstanding suspicious payments. Users can also determine how each detected payment should be managed, enforcing the separation of duties between the initiator, approver and reviewer of a detected payment. Reviewers can also be determined by payment rule and specific scenario (e.g., the treasury manager reviews payments less than $1 million, while payments over $1 million go to the treasurer), and non-treasury personnel can be assigned to review certain detected payments. Reporting and Audit Trails Leading technology solutions can ensure that detected suspicious payments are permanently tracked in the system for daily, monthly or annual reporting. History is maintained indefinitely and all details of the suspicious transaction—including the audit trail of detected and resolved actions—are retained for internal and external audit reporting. Payment Hubs With a payment hub, organizations have all their fraud protection capabilities in one place. Payment hubs consolidate payment streams from ERPs, finance, treasury, legal, capital markets and decentralized teams, transforming disaggregated processes into a single source of record for all outgoing payments. A payment hub also transforms payment data into bank-specific file formats and connects directly with global banks via multiple protocols, including host-to-host, SWIFT and regional networks. Payments from ERPs or other systems can bring an entire enterprise-wide payments landscape under the consistent and risk-focused payments fraud detection framework. With API-driven connections and integration tied into an approval and payment fraud detection and prevention workflow, controls and fraud are enhanced and easily governed. Payment Hub for Payments Fraud Detection Fraud Mitigation Matrix Treasury and finance professionals have many payment fraud detection tools at their disposal. The following list of solutions provides an overview of some the capabilities that today’s tools deliver for mitigating fraud risk. Fraud Mitigation Matrix Solution Key Protections Capabilities Payment Fraud Detection Scenarios Pre-Defined Detection Rules Flags unorthodox payments for further review Easy to customize and come up with your own rules Real-Time Screening AI/Machine Learning Dashboard Screens payments against historical payment data Displays all suspicious payments and prioritizes their resolution Payment Fraud Prevention Workflow Fully Automated Workflow Enables users to resolve outstanding suspicious payments Allows users to determine how detected payments should be managed Enforces separation of duties around a detected payment Designates reviewer(s) by payment rule and specific scenario Provides the ability to assign non-treasury personnel to review payments Features an option to hide alerts from initiators/approvers of a payment Allows scenario-based stopping of payments until resolved Enable to bypass for low-value payments Sets up tiered approvals Reporting & Audit Trails Complete KPI reporting Detected payments are permanently tracked in the system History is maintained indefinitely APIs: The Future of Payments Fraud Detection Real-time payments, which are gradually becoming more prevalent, bring unprecedented visibility and transparency to both the payer and the payee. However, there is also no stopping the transfer of funds once a real-time transaction is executed. Therefore, fraud needs to be prevented in the approval process before a payment request reaches the bank. Building APIs into the payment platform allows users to fully automate bank account validation and payment policy screening, identifying exceptions in real-time. APIs can instantly match payments against third-party data; for example, they can be used for sanctions list screening or verifying the ownership of the bank account to whom your company is paying. By using APIs for third-party system integration with your payment platform, your organization can ensure real-time access to any needed database for account or compliance validation. Exceptional payments can be immediately quarantined for further review, while unexceptional payments process normally. Learnings and Takeaways CFOs and treasurers require a more complete set of payments controls to mitigate modern fraud threats, including artificial intelligence/machine learning and APIs. Organizations have three common areas that make them vulnerable to fraud: technical systems, processes and human error. Modern threats include business email compromise scams, check fraud, wire fraud, deepfake voice fraud, and ransomware. Technologies that can be used to combat fraud include pre-defined fraud detection rules; real-time screening, alerts and notifications; fraud prevention workflows; reporting and audit trails; and payment hubs. As the threats continue to evolve, treasury and finance teams need to heighten their awareness. Interested in learning how to build out payments fraud detection and incident response programs to maximize protection end-to-end? Check out this on-demand webinar. Cybersecurity and fraud experts from Corelight and Kyriba outline fraud defense strategies.

Applying Principles of Quality and Efficiency from the Manufacturing World to Treasury and Finance to Achieve More Efficient FX Risk Management. One of the principal tenets of Lean is a focus on customer value. Activities that do not have a direct bearing on the value of the product or end result are targeted for elimination. Our customers, using our platform and Lean principles work to transition their foreign currency related systems and processes to create greater automation and efficiency.

The quantified negative currency impact for North American and European companies has continued to impact MNCs negatively to the tune of $27.87 billion for Q3, 2021 and is increasing adversely when comparing the quarterly results of the past few years. The need for a process that mitigates foreign exchange risk becomes even more apparent when organizations experience impact spikes from volatility due to the global COVID-19 pandemic. Manufacturers first adopted Lean principles and processes where they needed them most: on the manufacturing floor. Revisiting Henry Ford’s flow production assembly line model, Kiichiro Toyota created the Toyota Production System (TPS) model, which propelled Toyota and the Japanese industry into a new age of productivity and global competitiveness. Toyota’s ideas have since been widely embraced and translated into concepts like Lean production and Six Sigma, who are common in global manufacturing. Companies and consultants who have demonstrated success using these approaches to eliminate wasteful processes and improve quality have extended them to other industries and other disciplines. While Six Sigma is a very scientific rigor around quality control, Lean looks to produce more with fewer resources and to help processes flow more smoothly. Lean, which tends to be less dogmatic than Six Sigma, describes a process for improvement and a set of workplace best practices. The management techniques include taking a long-term view of the business, as well as active mentorship of staff at all levels. There is great potential for companies who apply Lean and TPS principles to improving financial processes, as the guiding principle of Lean directly applies to the challenges faced by organizations trying to manage their FX risk. With little standardization and tedious, manual processes, there is a great opportunity for companies to focus more on value and eliminating waste. However, Lean is more about fixing a specific process. Lean practitioners outside Japan tend to focus heavily on specific analysis tools and omit critical elements of the best practices and management techniques. For Lean implementations to be successful, companies need to go beyond a specific project approach and integrate Lean as a guiding principle so that it can lead to continuous improvement. Applying Lean to Foreign Exchange Risk A growing number of companies in the U.S. are beginning to take a closer look at the principles of Lean and how they can help improve the costly, inefficient and often ineffective FX exposure management processes typical of most organizations today. By taking a methodical and disciplined approach, they are able to significantly reduce the time and effort spent aggregating, validating, and analyzing foreign currency data to make better risk mitigation decisions. Equally important, they create visibility to the entire process and support an environment that makes continuous improvement possible. Companies of all sizes with FX exposures can benefit from extracting and compiling their exposures from various systems whether they be ERPs, procurement or billing systems and applying Lean methodologies and processes to ensure hedging activities and other related processes like trading, confirmations, and settlements are all done as efficiently and effectively as possible with appropriate policies and procedures applied. Focus on Value and Eliminate Waste One of the principal tenets of Lean is a focus on customer value. Activities that do not have a direct bearing on the value of the product or end result are targeted for elimination. Our customers, using our platform and Lean principles work to transition their foreign currency related systems and processes to create greater automation and efficiency. Finance and IT must be partnered and work to assemble project teams with representatives from finance, treasury, and IT along with strong project sponsors to set sights on creating greater value and eliminating waste across the overall foreign exchange exposure management process. Finance and treasury, supported by IT, must methodically go through and aggregate transaction data from their ERP or other related systems to identify exposures and, in turn, deliver the capacity to make appropriate hedging decisions to mitigate risk. Pulling together regional experts and business unit representatives or various department leaders is a significant investment of resources, but it gives companies undergoing the exercise of streamlining FX and other processes exactly what was needed to gain visibility of the entire process, end to end. These cross-functional reviews often result in identifying manual processes required to pull together the data and validate results through the use of spreadsheets to calculate exposures. Once identified wasteful, manual processes are mapped out, it’s important to take the appropriate steps and have commitment from your executive leadership team and stakeholders to make the changes. For instance, the use of automation can cut the number of steps required to go from data aggregation to risk mitigation decision in half, while delivering greater transparency to the process as a whole. Assessing the Whole Value Stream Another tenet of Lean involves taking a holistic view of any process, considering the impacts and dependencies of other processes, both up and downstream. Manufacturing plants designed along Lean/TPS principles allow leadership to witness the entire process, end-to-end, from any place on the factory floor. To be effective, that same sense of transparency can be applied to the foreign exchange exposure management process. For many companies, finance is responsible for aggregating foreign currency transaction data from their ERP systems, which is then typically passed to treasury for appropriate risk management; whether it’s simply allowing the risk to reside on the balance sheet, as part of a natural hedge, actively managing the risk through a derivative and identifying how the impact to the income statement should be accounted for. Automation creates the bridge between data aggregation, validation, and analysis, so that both finance and treasury have visibility to detail and summarize views of the company’s currency exposures. As a result, discrepancies and potential errors become easier to spot, with instant visibility by every stakeholder in the process. That visibility extended beyond Treasury, Finance, and IT to executive management, who could gain a better understanding about how business practices impacted the company’s exposure to foreign currency risk. Automating FX processes illuminates underlying business practices driving overall financial practices and put a new lens by looking at the big picture. Strive for Continuous Improvement: Momentum Building The concept of continuous improvement is a key component of Lean; one that prods companies to go from one-time process improvement initiatives to making customer value and waste elimination a way of doing business. Companies benefit most from implementing software tools to support their new process workflow and provide greater transparency, achieving ongoing improvements requires continuous communication, teamwork, and leadership. As part of the analysis of waste elimination from FX exposure management processes, it is important to quantify the time saved on non-value-added activities and defined how that time/effort would be reapplied to creating additional value. In this way, Lean practices have the potential to build and “snowball” from one process to the next, where the more time saved and value added, the greater the opportunity to save more time and create even more value.   Want to learn more about how to improve your FX management process? Check out Kyriba's latest demo session and see how Kyriba helps its clients mitigate the effects of currency volatility and reduce hedging costs.

Kyriba è lieta e fiera di continuare a sostenere la serie "Tesoreria nella pratica" di AFP, e ciò vale anche per quest'ultima pubblicazione, "Identificare il valore per la Tesoreria: Automazione, Machine Learning e Intelligenza...

Kyriba è lieta e fiera di continuare a sostenere la serie "Tesoreria nella pratica" di AFP, e ciò vale anche per quest'ultima pubblicazione, "Identificare il valore per la Tesoreria: Automazione, Machine Learning e Intelligenza Artificiale”

A major shift is underway in the world of enterprise resource planning (ERP) software. With both customers and ERP software vendors driving a mass migration to the cloud, many companies have already completed their...

A major shift is underway in the world of enterprise resource planning (ERP) software. With both customers and ERP software vendors driving a mass migration to the cloud, many companies have already completed their ERP cloud migration projects—and thousands more are set to follow suit by the end of this decade. But ERP cloud migration is a costly and time-consuming undertaking, particularly where IT is concerned. For companies seeking to digitize their enterprise applications, it’s clear that corporate IT will be heavily taxed for the foreseeable future. Meanwhile, cloud ERP software vendors and system integrators are poised to reap the benefits of years of migration project work. The Challenges of Bank Integration For corporations,  ERP cloud migration projects are often global in nature — and many will need to tackle the complexity of a global banking integration project. This element of ERP migration is particularly challenging, significant coordination is needed with the company’s banks, and there is a considerable disparity between the payment formats required by different geographic regions and clearing systems. Indeed, bank integration is often cited as one of the riskiest and most challenging elements of ERP cloud migration. Simplify and Accelerate The good news is that companies can considerably simplify and accelerate a major component of cloud ERP migrations: bank integration for reporting and payments. Connectivity-as-a-service (CaaS) providers deliver pre-delivered, pre-tested capabilities for bank reporting and payments formats that shave months off the migration project, and reduce connectivity and format costs by up to 80 percent. In this Ebook You will learn about the key areas to look at during an ERP cloud migration payments project, including: Following banks’ schedules Navigating variations due to geography, banks, statutory reasons Connectivity with your specific cloud ERP software (SAP, Oracle, Microsoft Dynamics, etc.) Resourcing challenges You’ll also find out how you can significantly reduce the cost and time required to complete your ERP cloud migration project. Bank and ERP Cloud Integration: What’s Involved? Bank integration is unlike any other system integration. Today’s corporate IT teams are experienced in building interfaces between different back-office systems—but these are typically stagnated interfaces that do not require additional resources. In contrast, when working on a bank interface, the IT team will typically need many different resources to coordinate with each other, including IT, treasury, accounts payable (AP), the connectivity team, the bank’s tech team, and others. What’s more, the project timeline is usually at the mercy of the bank’s schedule. Bank ERP integration can similarly be time-consuming. IT first has to determine if the cloud solution is compatible with their ERP. Then, the data needs to be extracted out of the ERP and re-formated. IT departments are often stymied and reliant upon outside consultants to deliver integrations or core capabilities within the ERP. Furthermore, once the initial specifications for these connections are determined, they need to be tested - and they rarely pass on the first try. As a result, the development team will need to rebuild, re-test and work through the coordination effort all over again. In some cases, two to five rounds of testing may be needed. What are the Challenges in ERP Cloud Migration? For IT, the bank integration component of an ERP cloud migration brings a number of additional challenges. Working on the Banks’ Timelines Delays in the ERP migration project often arise due to delays by the company’s banks. If the company has a robust relationship with a core banking partner, it may be able to move up the project queue for that particular bank. But with many corporations needing to manage dozens of banks globally, the IT team will be forced to follow those banks’ schedules—which means working across different time zones and navigating banking holidays and seasonal moratoriums on testing. Navigating Geographical Variations No two banks are the same, and it’s a common misconception that SWIFT is a standard message type across banks. While SWIFT is moving from MT to XML, each bank will still have its own unique requirement in terms of how it will accept incoming files. For any payment type, companies will need to ensure that payments are formatted correctly for a specific bank’s requirements and that they contain the information the bank needs to complete the payment. Most corporations will need multiple formats per bank, which might include different formats for low value, high value and FX transactions. Given the complexities, it’s no surprise that IT firms routinely take two years or more to work through all these bank connections and payment format testing. Payments Integration and Fraud Prevention Payments integration is a challenge, given the ever-increasing threat of fraud. Even with effective tools like artificial intelligence (AI) and machine learning, the threat level is the highest it's been yet, according to Strategic Treasurer's 2021 Treasury Fraud & Controls Survey. In addition to financial loss, fraud events damage a company’s reputation and lead to the loss of essential data or assets. It is therefore essential to use ERP integration as a way to put technology in place to protect your organization. This should include digitizing payment workflows, standardizing controls and screening payments as part of an integrated payments hub. Complexities for IT Adding to these challenges, bank integration brings a number of complexities where IT is concerned. Limited IT bandwidth Corporate IT teams are already thinly spread across numerous projects and support requirements. As such, the time involved in undertaking a bank integration project can be particularly onerous. No Reusable Data When IT teams work on an ERP implementation, they have to develop their banking interfaces as a one-off exercise. While ERPs may be moving to the cloud, ERP solutions are still typically private cloud providers—and no ERP in the market has readily available, reusable banking formats that can be shared among users. Multiple Stagings Bank and payment format development is no different than for any other interface or application, as IT has to work through the same rigorous processes. If the business users need a new payment format, such as a new ACH for an existing bank, they will still need to go through the process of testing, QA, nonproduction and production. This process can take months, meaning there will be a considerable delay before the end user has access to the payment format. Resource Requirements Once formats are in production, the IT infrastructure team will need to manage those formats going forward. This involves activities such as troubleshooting bank issues, editing formats as required by the bank and working with the business to add new banks when the need arises. Depending on the company’s banking footprint, two to five people will likely need to be tasked with managing these connections on an ongoing basis. Integration Made Easy Standard ERP integration is a lengthy process that is incredibly taxing on IT. But there is an easier way. Leading technology providers should offer a pre-built, pre-tested connectivity solution that takes minimal time to get up and running and provides access to even greater functionality immediately. Leading ERP and Bank Connectivity Technology Considerations ERP integration brings many challenges to IT - but these can be overcome by adopting a technology solution that simplifies both bank and ERP connectivity. With 20 years experience in connectivity, Kyriba can integrate bank reporting and payments, while mitigating risk--all in record time thanks to our use of application programming interfaces (APIs). Accelerate your ERP Migration Project and Reduce Costs Our out-of-the-box, bolt-on bank connectivity can help you achieve exceptional time and cost savings on bank integration. While standard integrations might required months of testing, our connections are pre-tested and ready to go. Access a Payment Format Library As a multi-tenant application, Kyriba is unique in the marketplace as our entire 2,500-strong customer base uses the same predeveloped and tested payment formats. What’s more, we have full-time staff whose sole responsibility is to build and test payment formats. As a result of 20 years of development, we offer more than 45,000 pre-developed and bank-tested unique payment scenarios. Simplify Interfaces Minimal IT resources are needed when it comes to interfacing between the ERP software and Kyriba. Using both SFTP and API, we take all payment files into our prebuilt interfaces with no code specs needed from IT. Focus on the Wider Project Kyriba’s connectivity platform frees IT up from the daunting task of bank integration—so you can focus on keeping the ERP project on schedule and on budget. Avoid the Need for Swift Connectivity and Certifications When you use Kyriba for connectivity, IT won’t need to manage the Alliance Lite2 SWIFT connection— and there will be no need for annual testing and certifications. Manage Ongoing Maintenance and Support When the project is over, Kyriba will handle all ongoing maintenance and will act as the banking IT support arm for business users, meaning you won’t need dedicated IT resources to troubleshoot bank issues. Connectivity as a Service By offering Connectivity as a Service (CaaS), Kyriba can actively manage bank connections on your behalf. As a result, no IT support will be needed to manage your company’s bank connections or undertake file testing with banks—and with Kyriba's API capabilities, companies can also add new banks in a fraction of the time that would be needed for custom development within the ERP. Market-Leading Payment Fraud Protection With IT increasingly tasked with risk mitigation, Kyriba’s market-leading payment fraud solution adds considerable value. The solution uses machine learning to detect any anomalies or suspicious activity, and provides alerts to stop payments for investigation before they are sent to the bank. Payment Tracking Kyriba offers real-time payment tracking with four levels of acknowledgement. By harnessing SWIFT gpi, Kyriba is able to track the entire lifecycle of the transaction. Innovation and Agility Hub Payment technology is evolving rapidly. Kyriba’s innovation and agility hub can deliver Real Time Payments (RTP) and can connect with other clearing systems and payment solutions. Smart Assignment Kyriba’s machine learning will have visibility to your banking partners and costs associated with each payment. Smart assignment can intelligently route your payments through the lowest cost provider. Bank Monitoring Kyriba offers global bank monitoring of all incoming and outgoing files. Kyriba clients can rest assured that they have fully outsourced banking support. Established Partnerships As an Oracle GOLD partner, Kyriba's Payments Network supports over 1,000 Oracle customers. Our payments solutions have also achieved SAP-certified integration with the SAP NetWeaver® technology platform and SAP S/4HANA. APIs and Connectivity The future of connectivity lies in Application Programming Interface (API) technology. This is where Kyriba has a key advantage. As the leader in connectivity in treasury and finance, Kyriba understands how to maximize the power of APIs to help finance leaders drive digital transformation and more informed decision-making. Bank APIs APIs offer an expedited pathway for bank connectivity, as well as a gateway to real-time business intelligence and digital solutions. Unlike file transfer protocol (FTP), APIs do not require files to be sent or downloaded. Data is exchanged point to point between the systems immediately, allowing for instant data transmission and eliminating substantial risk. Kyriba connects with over 600 global banks every day on behalf of our 2,500 clients using a variety of connection protocols, including APIs. Banking services available via API vary by bank, but can include real-time payments, domestic payments, cross-border payments, bank balance and transaction reporting, and SWIFT gpi payment tracking. Users receive immediate responses from banks, and the ability to access new data and notifications in real-time. ERP APIs Kyriba also works with ERP system providers to embed APIs into their workflows so that the user doesn’t need to take any action outside their ERP. These add-ons perform the initial formatting so that files can be exported from the ERP, translated to the API provider’s format and pushed out to the connectors. Corporate end-users can also integrate APIs into their ERPs on their own. These plug-and-play solutions are facilitated through our Open API platform, which provides users with common ERP integrations that connect to their own applications. Kyriba users can browse our online catalog, which lists all our available APIs and their prospective use cases. Here are a few examples: Bank Account Groups: This API allows for the creation of new account groups to filter and/or group accounts in processing and reporting. Users can modify the set of accounts that belongs to a specific group, and retrieve or update the pooling account of the group. Companies: This API allows for the setup of companies. Users can get a list of the companies located in a country, receive a list of companies whose name contains specific characters, and obtain all the setup fields of a specific company. Third Parties: With this API, users can manage and set up third parties who represent the companies they manage. Users can retrieve and update third-party details, and create or delete third parties via API. Optimized Bank Connectivity Conclusion There are many challenges for IT when deploying an ERP project, from working around banks’ schedules and specifications, to navigating the complexities of geographical variations - all while juggling an already heavy workload. Fortunately, Kyriba’s in-house developed, complete CaaS solution encompasses all ERP software vendors, internal financial systems, third party providers, and over 600+ pre-configured, pre-tested connections with banks across the globe - allowing for fast and simplified ERP migration. Payment and connectivity costs can be reduced dramatically, while the time spent on bank integration can be streamlined by as much as 80%. What’s more, freeing up the IT team from having to work within the constraints of the banks will help you keep the wider ERP project on time and on budget. Check out this webinar to learn how Treasury and IT worked together at Hilton Grand Vacations with Kyriba to speed up connecting more than 10 banks and 300 bank accounts as part of their Oracle ERP cloud migration project. 

 A Strategic Treasury Focus Boosts Cash Flow and Minimizes Risks Treasury operations manage the lifeblood of their companies: cash liquidity. CFOs know that their treasury teams are critically important, handling everything from cash flow...

 A Strategic Treasury Focus Boosts Cash Flow and Minimizes Risks Treasury operations manage the lifeblood of their companies: cash liquidity. CFOs know that their treasury teams are critically important, handling everything from cash flow forecasts to optimizing working capital, along with foreign exchange currency risk and investing and borrowing. The team’s performance has a direct impact on the bottom line. Yet, 22% of CFOs and senior finance executives say they don’t see their treasury team as a profit center, according to a recent survey by CFO Research and Kyriba. And only a quarter of the executives say their treasury operations are operating at a high level with a strategic approach. This report examines what the survey says about the links between treasury and overall performance, the obstacles that treasury teams face and how CFOs can boost their treasury performance to improve overall profitability. Which of the Following Best Describes Your Role? KEY POINTS Senior finance executives expect treasury teams to manage critical tasks linked to cash flow and risk, according to a survey. That three-quarters of finance executives view their treasury operations as strategically lacking. Obstacles faced by treasury teams include complex financial structures and siloed systems, and a lack of technology investments, real-time business intelligence, expertise and process automation. A lack of spending on treasury and a focus on everyday tasks over strategic objectives block progress for treasury teams. Working capital optimization is the top treasury concern of financial executives moving forward. The surveyed finance executives also acknowledge that their treasury organizations need to make technology and process improvements to meet industry best practices. Predictive analytics, payments automation and cash management are the top three technology and process improvements that treasury teams need to make, according to the survey respondents. WHY TREASURY PERFORMANCE SHOULD DEMAND YOUR ATTENTION There is widespread agreement among CFOs and other senior finance executives: Treasury performance is critical to the health of their organizations, and they expect their treasury teams to manage a range of critical tasks. According to a 2020 CFO Research/Kyriba survey, senior finance executives give similar weighting to a range of treasury department priorities: accurately forecasting cash flow, operational efficiency, fraud prevention, compliance, optimizing working capital and FX risk management are somewhat evenly matched. Rather than singling out one or a few of the priorities, the 156 surveyed executives indicate that all are nearly equally important. The survey also reveals another theme: finance executives tie treasury performance directly to cash and liquidity management. The surveyed executives measure treasury performance based primarily on free cash flow, cash used for working capital, productivity and efficiency, investing and borrowing performance, and reduced risk exposure. These are all important, of course -- liquidity drives business performance, CEOs often give guidance to the investment community about meeting free cash flow targets and cash is needed for working capital. What Are Your Current Priorities Related to Treasury? But whether or not the finance executives formally track these factors as key performance indicators for their treasury teams, nearly all of the executives have the same expectations. They want better returns from cash, more optimized investment and borrowing, best practices executed for liquidity and cash management, and protection against fraud. On the topic of the best ways for treasury teams to optimize liquidity, the survey respondents again see almost-equal priorities rather than one or two favorites, giving nearly the same importance to reducing borrowing costs, increasing returns on excess cash, generating free cash flow, mobilizing global cash more efficiently and implementing supplier financing programs. They also give similar weights to each of eight areas where their treasury teams could make a better contribution to overall business performance. Increasing cash flow is the favorite at 41%, followed by increasing interest earned on excess cash, protecting against payments fraud, improving treasury team productivity, centralizing treasury data and processes, reducing currency volatility impacts, providing secure and efficient global payments, and providing business continuity planning for global treasury. Finance executives expect their treasury teams to meet all of these cgoals, and if they aren’t done right, it costs their organizations in financial losses or missed opportunities. CFOs recognize that cash is the lifeblood of their organizations. When treasury can manage cash and liquidity well—if it can provide visibility to cash and deploy it effectively, optimize investment and borrowing, and protect cash from fraud and currency risks—then it sets itself up to optimize how cash is made available and deployed, such as for cash operations, stock dividends or company growth in other parts of the world. THE CURRENT STATE OF TREASURY Despite the consensus that treasury operations are integral to company success, the survey also shows that treasury operations are lagging considerably behind the vision that the CFOs and other finance executives have for them. Surprisingly, 22% of the surveyed executives say they don’t see their treasury team as a profit center. On behalf of those who don’t share that view, 53% of the surveyed executives say their treasury teams contribute as a profit center by earning greater returns on cash and 34% say they contribute by unlocking supplier discounts for early payments. Rounding out the profit-center views, 28% see contributions from treasury’s FX intercompany management and 24% from viewing treasury as an in-house bank. On the bright side, 78% of the CFOs and other senior finance executives in the survey view the role of treasury as actively contributing to the bottom line. And most are earning greater returns on cash from areas such as investment income on the large cash balances that companies frequently hold in today’s economy. They also value cash management and see cash as something that can help create profitability and improve margins. The glass-half-empty view? The executives in the 22% contingent probably are not aware of the potential links of treasury to value creation, and are likely not investing in things like cash forecasting or technology that will help their treasury teams contribute in strategic roles, viewing cash merely as a means to pay bills, and not much more. How Do You See Your Treasury Team Contributing as a Profit Center? When asked about their current state, only one quarter of surveyed finance executives describe their treasury operations as “strategic,” the highest level, meaning that treasury “creates value through enterprise-level insight and intelligence.” Three out of every 20 finance executives surveyed say treasury is operating at an “ad-hoc” level, or the lowest level, which is primarily reactive. Anything below strategic is suboptimal. But why are treasury teams being placed in the not-strategic category? The surveyed finance executives report several internal obstacles that restrict the CFO’s ability to support organizational growth and bottom-line value, with a fairly even distribution between those obstacles: complex financial structures, siloed or disparate financial systems, lack of resources, insufficient technology investments, lack of real-time business intelligence, lack of expertise and lack of process automation. All of these obstacles point to a mindset that the company hasn’t invested the time and money necessary to improve treasury processes and the systems that support them. They also signal a lack of collaboration and coordination in the way the financial structure is set up. A lack of spending on treasury and a tactical focus, where time is spent on completing everyday tasks at the expense of forward-looking achievements, translates to lower productivity for treasury teams, especially for the range of critical tasks and high expectations that CFOs have set out for them. Companies are getting in their own way when they fail to prioritize treasury operations and don’t invest in the capabilities and tools that treaury needs. HOW TO GET BETTER CFOs value the importance of treasury operations, and most of them recognize that their treasury teams haven’t reached a strategic level yet. So how do they set up treasury to achieve its full potential? The key barrier is that treasury teams often get so bogged down in reactive tasks that they don’t create opportunities to work on strategic tasks. If treasury can get around its mountain of tactical work, it can be more proactive with insights and analysis. One way that CFOs appear to be attacking this issue is through technology. The survey shows that more than one-third of the respondents use connectivity middleware/payment hub software, data visualization/business intelligence software and mobile devices for multifactor authentication with their finance teams. A slightly lower percentage of the surveyed finance executives employ application programming interfaces to banks and trading partners, as well as machine learning and robotic process automation. All of these technologies help harness data and can make treasury teams more effective and analytical, which helps them make better decisions about managing cash and liquidity. Fostering more analysis of data and information creates an opportunity for treasury and finance to become more strategic. TREASURY ORGANIZATIONS NEED TO MAKE TECHNOLOGY AND PROCESS IMPROVEMENTS TO MEET INDUSTRY BEST PRACTICES. PREDICTIVE ANALYTICS ARE AT THE TOP OF THE LIST, CITED BY 45% OF THE RESPONDENTS AS AN AREA OF INTEREST, FOLLOWED BY PAYMENTS AUTOMATION AT 32% AND CASH MANAGEMENT AT 31%. In Which of the Following Areas Does the Treasury Organization Need to Imporve Its Technology and/or Process to Match Industry Best Practices? The surveyed finance executives also acknowledge that their treasury organizations need to make technology and process improvements to meet industry best practices. Predictive analytics are at the top of the list, cited by 45% of the respondents as an area of interest, followed by payments automation at 32% and cash management at 31%. The number of organizations utilizing technology that still acknowledge the need for improvement show a level of aspiration. CFOs and their organizations are recognizing they need to make changes to achieve the performance standards they’ve set for their treasury teams based on free cash flow and other factors. What Are Your Top Three Treasury Concerns for 2020 and Beyond? Looking ahead, the top three treasury concerns for 2020 and beyond are working capital optimization, according to 41% of the surveyed executives, followed by payments fraud for 29% and low interest rates for 28%. The other items on the treasury concerns list include treasury operating costs, treasury productivity, currency volatility and business continuity. The diverse pattern of responses indicate that other than with working capital optimization, every organization will have its own individual set of priorities for fortifying its treasury operations. Also, with no consensus about treasury deficiencies, each organization will have to carefully examine and gain a better understanding of its own treasury team, which could lead to visibility that hasn’t previously existed. The bottom line is that CFOs and other finance executives value their treasury teams, and they have a good understanding of all the vital benefits that their teams can deliver—a point made repeatedly through the survey results. Although there may not be a simple fix, they’ve identified a list of internal obstacles that they must overcome to improve treasury. They also recognize the opportunity at hand: to bring their treasury operations up to a strategic level where they can fulfill their potential. To make that happen, they need to arm their treasury teams with the right tools to understand and analyze data, and to make better decisions. Starting with some simple investments in technology, CFOs can improve the efficiency and effectiveness of treasury. And as that efficiency and effectiveness grows, it increases the probability of good outcomes like increased profitability. CONCLUSION Treasury performance is tied directly to cash and liquidity management. CFOs know that accurately forecasting cash flow, operational efficiency, fraud prevention, compliance, optimizing working capital and FX risk management are all critical tasks that their treasury teams must manage to sustain the health of their companies. Most of them also recognize that their treasury teams need work. Most treasury operations fail to achieve their full potential because they get bogged down in tactical, reactive work. Treasury teams need investments in predictive analytics, payments automation and cash management. As technology and process improvements help treasury teams to harness more data and employ more analytics, those teams will become more strategic and capable of meeting their CFOs’ expectations. And companies will enjoy improvements in free cash flow, cash usage for working capital, productivity and efficiency, investing and borrowing performance, and reduced risk exposure.     Check out this on-demand webinar and learn how 2021 AFP Pinnacle Award Winner HCSC transformed into a data-driven treasury with 1000+ hours of productivity improvement and 90% reduction in working capital requirements.

This new e-book is designed to provide a quick, graphical overview into how payment hubs can help increase efficiency, reduce costs and enhance fraud prevention.

This new e-book is designed to provide a quick, graphical overview into how payment hubs can help increase efficiency, reduce costs and enhance fraud prevention.

For CFOs charged with safe-guarding corporate coffers, there is no silver bullet that can stop payments fraud in its tracks. Managing and minimizing the problem is a holistic, pro-active effort that combines best practices...

For CFOs charged with safe-guarding corporate coffers, there is no silver bullet that can stop payments fraud in its tracks. Managing and minimizing the problem is a holistic, pro-active effort that combines best practices with real-time detection and monitoring technology.