Three key steps for CFOs in the AI era

1. Architect an intelligent finance system, not a set of tools

The starting point is not an AI roadmap, but a clear view of where intelligence and autonomy should sit within financial and cross-functional workflows. CFOs should:

• Identify processes where speed, scale, and consistency create economic value, and where human judgment must remain central.
• Help design an integrated system in which data, models, and agents work together across planning, reporting, risk, and capital allocation.
• Identify productivity gains that do not simply reduce cost but free capacity for higher-value decision-making and reinvestment.

2. Redefine productivity and performance for an AI-augmented workforce

Traditional metrics based on headcount, effort, or activity are no longer sufficient when software agents execute decisions continuously and at scale. CFOs should:

• Lead the redesign of performance metrics to reflect output quality, cycle time, decision accuracy, and economic impact.
• Move beyond data literacy toward true data fluency: the ability to interrogate models, challenge assumptions, and translate complex signals into strategic action.
• Become the steward of how value is measured in a hybrid human-and-agent organization.

3. Govern autonomy with clarity and intent

As AI systems move from recommendation to action, governance becomes a core financial responsibility. This goes beyond ethics and compliance to defining decision rights, escalation thresholds, and accountability in an environment where humans and agents operate together. CFOs should:

• Establish clear guardrails around where autonomy is permitted, how exceptions are handled, and how transparency is ensured, particularly in regulated and high-stakes domains.
• Establish well-designed governance that balances speed with control and innovation with accountability.