To build an AI-first company, CEOs need bold executives who can challenge assumptions, reimagine how the business works, and keep people focused and inspired through relentless change. In this fourth article of our series on building an AI-first senior leadership team, we examine how AI is redefining the chief financial officer’s role and remit.
If AI’s first phase gave companies permission to spend and experiment, the next one will demand a financial reckoning.
When we surveyed 500 CEOs in January, just under half of leaders at companies with more than $2 billion in revenue said they felt a “high” or “very high” urgency to generate bottom-line value from their AI investments. But as exuberance gives way to hard scrutiny—a shift that’s already underway—CEOs will be pressured by investors on two fronts: First, they will need to prove that AI is delivering the expected returns. Second, as AI-driven differentiation becomes more visible within industries, CEOs will need to be able to defend their valuation multiple.
Preparing for that moment starts with giving the chief financial officer (CFO) a fresh mandate for an AI-first world.
Parts of that remit will stay the same. CFOs will still protect the enterprise through strong controls, accurate reporting, and credible guidance. But they must evolve to become architects of AI value by determining where the technology is generating returns, where it’s falling short, and where investment should go.
At the same time, they must also build an AI-first finance function that uses real-time data and intelligent tools to interpret performance, anticipate what comes next, and sharpen decision making across the enterprise.
Armed with this new capability, CFOs and CEOs will be able to spot a potential earnings miss earlier, giving them more time to alter course and meet (or exceed) guidance. And when investors start baking AI differentiation into stock prices, the CFO and CEO will be ready to show skeptics that their company deserves a premium valuation relative to its peers.
From Crunching Numbers to Shaping Strategy
Executing this mandate will require enhanced AI savvy and a substantial shift in mindset for CFOs. Today, most finance teams spend roughly 90% of their time producing numbers and 10% advising the business. In an AI-first finance function, that flips. Assembling, reconciling, and reporting numbers become largely automated, allowing the CFO and their team to focus the bulk of their time on interpreting performance, advising the business, and shaping the decisions that determine future results.
This is not a hypothetical. Companies BCG has partnered with to build leading-edge capabilities have improved the predictive power of their finance models by 50% or more. They have also automated 90% of their reporting and achieved 80% touchless invoice processing, freeing up more than 30% of the finance team’s capacity for higher-value advisory
CEOs must bear in mind that prediction does not eliminate human judgment. If anything, it demands more of it. Finance leaders will need to decide which signals matter, where human judgment must override the model, and where finance transformations are stalling.
The “No Surprises” Finance Function
As the control tower for planning, forecasting, reporting, and performance management, finance sees before any other function where AI is creating value and where it is not. That puts the CFO in a unique position to become an architect of AI value by deciding where capital should go, tracking the impact of investments, and helping inform the operating model changes needed to scale AI beyond pilots.
Granted, finance has moved more slowly on AI than other functions, but not because CFOs didn’t see the opportunity. AI accuracy is still not 100%, and when the numbers must withstand audit, attestation, and regulatory scrutiny, “mostly right” won’t cut it.
For this reason, AI should not replace the ledger or other core financial systems that produce the numbers. What it can do, however, is sit on top of those systems to give the finance team deeper insight into why the numbers look the way they do, how they might change under different scenarios, and what management should do next.
In other words, AI can evolve the finance function from reporting on the past to helping shape the future in real-time.
To reach that state, finance teams must build a heads-up display for the business. This is not to be confused with a traditional dashboard that shows backward-looking results. An AI-enabled heads-up display gives a live view of the operating inputs that drive financial outcomes—sales activity, pricing, client load, conversion rates, basket size, cost trends, capacity, and other leading indicators—and then links them directly to revenue, margin, and earnings.
Layer in real-time sensitivity analysis and scenario modeling, and the CFO (along with the CEO and board) gain something tremendously powerful that most companies currently lack: early visibility into where performance is headed. They can see what is likely to happen next, test how different variables could impact results, and then identify the levers the business can still pull to meet or exceed guidance while there is still time.
That’s what a “no surprises” finance function looks like.
Three AI Goals CEOs Should Set for Their CFOs
The CFO’s AI mandate only becomes real when the CEO translates it into concrete goals. The first two should be achieved within six months, and the third within twelve:
- Goal 1: Build the financial conviction to make bolder AI bets. Within six months, the CFO should show where and how AI can generate value for the business over the next five years. This is not a list of pilots or use cases, but a deep forecast of how AI can impact revenue, margin, productivity, cash flow, and resilience. It also compares what happens to the business environment if a competitor moves faster on AI.
- Goal 2: Bring financial discipline to the full AI portfolio. CFOs should not still be writing blank checks for AI experimentation. To realize quantifiable value six months from now and beyond, they must bring all AI spending into one portfolio view. This single source of truth will help them justify where they deploy capital by showing them where AI investment is happening now, where it could happen, and how the expected ROI ladders up to the value creation strategy.
- Goal 3: Arm the CEO and board with early visibility to protect the multiple. Within a year, the CFO should have a real-time finance command center up and running. That is the mechanism that turns finance from a function that explains performance after the quarter closes into a “no surprises” one.
Getting there will require new capabilities, including AI savvy and stronger analytical skills. That does not mean turning the finance team into coders. But they will need enough fluency with data, systems, models, and AI tools to ask better questions, challenge weak claims, and ultimately spend far less time producing numbers and far more interpreting them.
It will also necessitate a mindset shift. Finance teams have historically prioritized perfection over progress, focusing first on collecting and organizing data and only later extracting insight. An AI-first finance team starts with the business outcome the CEO wants to drive and then works backwards to support that, with the right AI use cases driving real-time insights and impact.
Remember, the biggest hurdle CFOs will face in meeting these goals will likely be human, not technical. BCG’s 10-20-70 framework makes the point clearly: 10% of AI transformation is algorithms, 20% is technology and data, and 70% is people, processes, and the hard work of changing how decisions get made.
Many CEOs are still getting the benefit of the doubt on AI investment. But that window is closing fast. To prepare for the reckoning to come, CEOs must broaden the CFO’s mandate from trusted steward of performance to early interpreter of where AI is creating value, where it is at risk, and what management should do next. In that world, the CFO becomes a source of competitive advantage, not just a better reporter of numbers.
