The CFO Trust Gap: Everyone's Adopting AI, Almost Nobody Fully Trusts It

Kyriba's 2026 CFO Survey (OPR Index) surveyed 1,400 finance leaders worldwide. The results show a clear contradiction: while 47% of organizations have already integrated AI into some or most of their financial processes, 77%of CFOs still cite security and privacy as critical risks when adopting AI.
So which is it? Are finance leaders sold on AI, or are they skeptical of it? Honestly, both, and that's the part worth sitting with. It's not that CFOs distrust the technology itself. They see its potential. What they don't fully trust is what happens when you point AI at their actual financial data.
And that's fair, because a lot of those books aren't in great shape. Ask most finance teams where a number came from and you'll get a story involving three spreadsheets, a CRM export, an email thread, and someone's memory of what happened last Tuesday. A model can be genuinely impressive and still produce a confidently wrong answer if that's what it's fed. Speed doesn't fix bad data, it just delivers bad data faster and with more conviction.
Where Blueberries Fits In
This is more or less the exact problem we started Blueberries to solve. In our own conversations with finance leaders, 83% told us they don't fully trust their own financial numbers, before AI even entered the discussion. The fix isn't a smarter model bolted onto the same messy process. It's rebuilding the layer underneath: pulling data automatically and continuously from the systems, emails, and calendars finance teams already use, so there's one real-time source of truth instead of six half-updated ones.
The CFOs who close this trust gap first probably won't be the ones who buy the best AI tool. They'll be the ones who fix their data before they ask anything to think about it.
Don’t wait to get ahead, book a 30-minute demo and automate your FP&A with Blueberries.
Book a demoSources: Kyriba, 2026 CFO Survey: OPR Index – Measuring CFO Confidence (2026); Business Wire, 77% of Global CFOs Cite Security and Privacy Risks as AI Trust Gap Persists Despite Growing AI Adoption (January 2026).
