Why AI isn’t fixing the cash conversion problem

Nishant Nair
CEO & Founder, RecVue
Why AI isn’t fixing the cash conversion problem

Read Nishant Nair’s full article on CPA Practice Advisor

Sustained margin pressure, elevated capital costs, and rising board expectations mark the start of 2026, so it’s easy to understand why more finance teams are turning to AI. The hope is for smoother processes, more accurate, timely decision-making, and less manual work. But as AI adoption continues to rise, strategic outcomes have yet to keep pace with market-condition demands.

new study of CFOs and revenue leaders found that automation and AI use are increasing across key areas in the office of the CFO. Teams are relying on it to flag billing anomalies (78%), automate financial controls (80%), and simplify configurations (81%). And while cash conversion gains have improved, progress isn’t enough in today’s mixed-signal market. More than half (53%) report only modest gains.

To unpack this problematic reality, it’s important to understand where cash delays are actually occurring. It isn’t where you think…

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About the Author

Nishant Nair

CEO & Founder, RecVue

Nishant Nair is the Founder & CEO of RecVue, an enterprise revenue operations platform. With 20+ years in quote-to-cash, subscriptions, and usage billing, he’s led transformations at LinkedIn, Pinterest, Dropbox, Equinix, and Walmart.com.