Gartner Research: Turning Finance AI Activity Into Real Business Value
Summary
Gartner's June 2025 survey of 183 CFOs found that 84% have implemented or are planning AI in finance — yet only 7% report high or very high business impact. Gartner now says CFOs need a structured, maturity-defined roadmap spanning culture, governance, skills, and data to convert AI activity into measurable value. The framework requires explicitly tying automation and efficiency to financial outcomes.
Key Insights
- The Adoption vs. Impact Chasm: 84% of surveyed CFOs have or plan to implement AI, yet only 7% are seeing significant, needle-moving business outcomes.
- The Missing Framework: Most organizations are treating AI as a series of isolated activities rather than navigating a structured roadmap that aligns culture, governance, skills, and data.
- Tying Actions to Outcomes: For AI to deliver measurable financial value, automation and operational efficiency metrics must be explicitly tied to core financial outcomes.
- The Zylo/ZARM Connection: This 93% "impact gap" is exactly why ZARM exists. Mid-market companies are deploying AI without the baseline infrastructure to make it pay. ZARM’s 0–100 readiness score gives CFOs the exact structured diagnostic Gartner prescribes before capital is wasted.
About the Author
Christian Blem Charity
Senior AI Product Leader and ex-Deloitte consultant focused on enterprise AI and automation.
Phil Slorick is an operational architect focused on helping organizations integrate artificial intelligence into core business processes. His expertise includes workflow automation, operational efficiency, enterprise systems, and scalable AI implementation. He writes about practical AI adoption, business operations, digital transformation, and building intelligent organizations.