
5 signals from the front lines of finance leadership

By Monica Boydston
Chief Product OfficerShare
The CEO steps off an investor call. The question lands immediately: "What are we looking at for the next 90 days?"
You have the data. You have the models. Your team is working incredibly hard.
What should take ten minutes takes two hours, because the information is spread across systems, spreadsheets, and manual workarounds. That is not a failure of effort. It is a failure of process. The cost is confidence, for you and for the business.
I hear some version of that story from customers every single week. Before I became Chief Product Officer at Kyriba, I spent years in operations and finance leadership, including as a CFO. I know what it feels like to sit in that seat, and I know how quickly a blind spot becomes a business issue when CFO technology strategy falls short.
What I am seeing now is that the expectations placed on treasury and finance leadership are rising faster than the infrastructure supporting them. Five signals are surfacing in those conversations, consistently, across industries and geographies.
Signal 1: AI is moving from curiosity to accountability
A year ago, the most common AI-related request we heard was about capability: what can it do? Today the requests are about governance: how do we control it, audit it, and enforce our own policies within it? That shift in the questions tells you everything about where AI adoption in finance actually stands.
General-purpose AI tools are impressive. They are also ungoverned, untrained on enterprise data, and incapable of enforcing the policies, entity structures, and approval hierarchies that finance requires. The leaders who get AI governance right are not the ones moving fastest. They are the ones building the governance infrastructure to move responsibly, with full traceability and control at every step.
Signal 2: Liquidity visibility is becoming a competitive advantage
In product conversations with customers, one shift is impossible to miss: liquidity visibility has stopped being a capability request and started being a strategic demand.
CFOs who can see their full liquidity position in real time, run scenario analyses quickly, and bring decision-ready intelligence to leadership conversations are operating at a fundamentally different speed than those who cannot. The 90-day forecast question from the CEO becomes a ten-minute conversation instead of a two-hour scramble.
Visibility has become a strategic differentiator, because speed of insight translates directly into speed of decision, and speed of decision is where advantage is built or lost.
Signal 3: Treasury is moving from operator to orchestrator
Treasury has always run the cash of the company. What is changing is what that responsibility now demands.
Finance leaders are now expected to deliver foresight, judgment, and the ability to help leadership see around corners, alongside the cash positions they have always managed. Treasury is becoming the coordinating intelligence of the enterprise, connecting cash, counterparties, risk exposure, and capital allocation into one coherent view.
The shift is from operational oversight to strategic decision partner. The organizations that get there first will help their CEOs answer hard questions before those questions become emergencies.
Signal 4: Payments infrastructure is changing faster than most organizations realize
Most payments strategies are built around execution. The ones that will hold up are built around orchestration.
Many treasury teams still log into dozens of bank portals daily just to move cash between entities. That is not a payments problem. That is an orchestration problem. Real-time payments, digital currencies, cross-border complexity, and payment resilience are all accelerating at once. The gap between how fast the landscape is moving and how prepared most organizations are to respond is widening.
Stablecoins, real-time rails, and cross-border digital asset flows are moving from proof-of-concept to production faster than most roadmaps anticipated. Finance leaders who treat payments as a strategic capability rather than a back-office function will be in a fundamentally different position when the next disruption arrives.
Signal 5: Trust is the differentiator in technology
The questions I hear most often from finance leaders evaluating technology partners are about accountability: what happens when something goes wrong, how quickly will you tell us, and what will you do to fix it?
Governance, security, and reliability are the foundation on which finance leadership operates, and they are increasingly how CFOs evaluate the partners they choose.
When a platform works, companies operate. When it does not, the effects are not just technical; people do not get paid, counterparties lose confidence, and leadership loses time it cannot recover. Finance leaders are choosing partners who understand that weight, who build with accountability in mind, and who can demonstrate the kind of transparency and consistency that earns trust over time.
Five signals, one direction
These five signals are not predictions. They are patterns already visible in the conversations happening across the finance community right now. The leaders responding to them are not waiting for conditions to stabilize before acting.
We are building with those leaders in mind. That means designing for where they are going, not where they have been.
The finance leaders who answer these five signals now will not be the ones reacting to change. They will be the ones setting the standard for how their industry responds to it.
Written By

Monica Boydston
Chief Product Officer
Monica Boydston is Chief Product Officer at Kyriba, leading the company’s product strategy and innovation to help treasury and finance teams solve their most complex challenges. With more than 20 years of leadership experience in enterprise software, including senior roles at insightsoftware and Epicor, Monica brings a proven track record of scaling high-growth businesses. She combines deep technical expertise with a strong understanding of customer needs, building products that power smarter decision-making. Monica is passionate about applying data, automation, and AI to transform the way finance teams operate and deliver value.
Related resources


