This article is a guest post by Kate Motonaga, who serves as a global CFO, audit committee chair, and board risk executive. The views expressed are solely those of the author.

While artificial intelligence continues to dominate headlines, finance departments have been quietly managing their own form of "machine intelligence" for decades. Anyone who has built forecasts under pressure or responded to last-minute audit requests can understand this.

Although discussions around AI often focus on IT and innovation teams, finance has long held the most sensitive and high-risk data within an enterprise. The mindset of CFOs and finance controllers is inherently built around compliance, internal controls, and risk, making them naturally suited to lead AI strategy and governance.

This is not just about adopting new tools; it is about recognizing that finance is a "data-native" function—it already sits at the center of enterprise risk, strategy, and trust.

Finance has always been a data function

From revenue forecasting and audit trails to regulatory filings and cash flows, finance leaders manage far more than just the income statement. They are stewards of structured, regulated, and often confidential data. In many ways, finance has always been the enterprise's data steward, whether or not we voluntarily assumed that role. What has changed is the scale, speed, and expectations around data usage.

AI is gradually shifting from a buzzword to a practical tool. It helps finance identify patterns, flag anomalies, and automate repetitive tasks that no one misses. But these benefits only matter if finance leads the conversation on AI usage, governance, and integration. In many organizations, finance is better positioned than any other department to take on this responsibility.

The CFO as AI steward

This is not about requiring CFOs to become technology experts. Having gone through three ERP implementations, at least an honorary IT badge should be earned. The key point is that finance already possesses the mindset needed for AI leadership: compliance-first, audit-aware, and cross-functional.

Boards want to understand how AI improves performance while managing risk, and preferably without unnecessary negative headlines or regulatory surprises. The CFO sits at the intersection of performance and oversight, with the visibility and credibility to guide the discussion.

CFOs are becoming the natural counterpart to CIOs and CDOs, especially in areas where AI is applied to forecasting, fraud detection, spend analysis, and operational decision-making. These shifts are already happening.

The Intelligent Model

To help finance leaders navigate this transformation, I use a framework called the "Intelligent Model," which defines five areas where finance should take the lead:

  1. Insight Generation—moving beyond retrospective reporting to real-time scenario modeling.
  2. Risk Management—integrating AI into enterprise risk management without weakening controls.
  3. Data Governance—treating finance as both a consumer and guardian of data.
  4. Operational Agility—using AI tools to reduce manual processes and improve forecasting.
  5. Board Communication—enabling finance leaders to credibly communicate on AI risks, governance models, and strategic value.

This model reflects what top finance teams are already practicing. Today, AI adds both opportunities and increased responsibilities.

What Controllers and Future Finance Leaders Need to Know

You don't need a data science degree or a shiny new title to lead in this space. If you manage audits, oversee compliance, or analyze trends, you are already handling the structured data that drives AI.

Start with a few questions: Which decisions take too long, and why? Which manual processes limit speed or insight? How can scenario planning be improved without adding risk?

If the answer includes "because we're still using Excel," you are not alone.

This shift is not about replacing people, but about using better tools to amplify the judgment that finance professionals already have. Those leaders who build confidence in AI and its governance frameworks will increase their influence and relevance.

Board Expectations

Boards are now asking deeper questions, not just "What's the ROI?" but also "Are we moving too fast?" and "Who is ensuring we stay on track?" This is exactly where finance needs to speak up.

Boards want clarity on how AI is being used, what risks it introduces, and whether the organization has proper governance in place. CFOs, audit committee chairs, and risk executives are best positioned to provide these answers.

Finance should be part of every AI-related discussion at the board level, including audit, enterprise risk, and capital planning.

AI is not a magic bullet or a science experiment; it is the next stage of finance's evolution, helping us move from reporting the past to predicting the future. In fact, we are already halfway there. The tools may be new, but the leadership required is familiar territory.