What CFOs Are Learning on the Front Lines
During the week of February 23, CFOs and senior finance executives convened at RGP-hosted roundtables in Houston and Dallas to confront one of the defining leadership challenges of this decade: how to move from AI ambition to enterprise readiness. The conversations were grounded in RGP’s November survey of 200 CFOs, “The Foundational Divide: From Ambition to Readiness,” which revealed a striking tension shaping the modern finance agenda. While 66% of CFOs expect AI to deliver measurable impact within two years, only 14% report realizing meaningful ROI today.
What emerged from the Texas discussions was an unusually candid portrait of how American corporations are standing at an inflection point. Finance leaders spoke openly about fragmented data architectures, AI systems that must withstand the scrutiny of auditors and regulators, and governance and cybersecurity frameworks that are still catching up to the pace of technological change.
“If you’re waiting for your data to be perfect,” said the CFO of a manufacturing company, “That’s not a strategy. You’ll never start.”
Yet the most striking insight was not hesitation—it was momentum. CFOs are not waiting for perfect conditions before advancing. They are actively navigating the gap between ambition and readiness in real time, moving forward with AI while simultaneously building the foundations of trust, governance, and data integrity required to sustain it. By a show of hands in both roundtables, nearly every executive placed their organization in the middle stage of adoption: beyond experimentation, but not yet at enterprise scale.
In other words, the race toward AI has already begun. The question CFOs are now grappling with is not whether AI will reshape the enterprise, but how quickly their organizations can build the institutional infrastructure required to capture its value.