Gartner Says CFOs Need Structured Finance AI Roadmaps

CFOs need a structured and disciplined approach to finance AI adoption if they are to convert growing AI activity into measurable business impact, according to Gartner, Inc., a business and technology insights company.

Speaking at Gartner Finance Symposium/Xpo 2026 in London today, Ash Mehta, Sr Director Analyst in the Gartner Finance practice, said finance leaders are right to question whether their AI efforts are delivering enough value. Gartner data shared in the session - taken from a June 2025 survey of 183 CFOs - showed that 84% of finance organizations have implemented or are planning to implement AI, yet only 7% report a high or very high impact.

“Organizations that succeed with AI are not necessarily smarter, luckier or better funded. Rather, they follow a structured and disciplined roadmap that connects finance AI initiatives to business outcomes”, said Mehta.

Gartner recommends CFOs approach finance AI in three steps: set the vision and identify maturity, build the roadmap, and execute and scale use cases.

CFOs should begin by setting a clear finance AI vision. A finance AI vision should answer three questions: what is the desired end state for an AI-enabled finance function; how will finance use AI to achieve enterprise objectives; and what value will AI in finance deliver to the enterprise?

A maturity assessment helps finance leaders identify the capability gaps they must close before AI can deliver the intended value. Gartner’s finance AI maturity model outlines five phases: avoid, experiment, stabilize, expand and transform. CFOs should use the model to assess current maturity across four workstreams: culture and leadership, strategy and governance, skills and organization, and software and data (see Figure 1).

Once CFOs identify current and target maturity, they should translate gaps into a sequenced roadmap in a modular way, prioritizing the workstreams where finance is lagging and sequencing actions across three phases: foundation and quick wins, scale and optimization, and innovation and leadership.

The roadmap should then become practical through a disciplined AI use case cycle: identify, prioritize, execute, scale and refine. CFOs should create clear intake and approval processes for AI use case ideas, document objectives, costs and benefits, and prioritize use cases based on net business value, feasibility and scalability.

“If everything is a priority, nothing gets funded. CFOs should identify 3-5 use cases to pilot at a time,” said Mehta. “The strongest roadmaps are living plans, not static documents. Finance leaders should customize the roadmap to their organization, review it as AI capabilities and business priorities evolve, and aggressively scale the use cases that succeed.”

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