A new report (from Wakefield Research for Maximor), based on interviews with 100 CFOs, reveals why Chief Financial Officers (CFOs) are not asking whether to adopt AI in finance – at least anymore. Instead, the corporate money holders are asking why every solution forces them to choose between speed, which they cannot audit and control, and that which does not scale.
Hence, there is a significant trust gap is hindering AI execution in finance, with 96% of CFOs recognizing AI’s benefit in freeing time for strategic work, yet only 14% fully trusting AI for accurate data. – Human oversight remains critical, with 97% of CFOs emphasizing its necessity.
As an example, AI copilots require accountants to review transactions, offering minimal productivity gains, while AI agents promise automation but lack verifiable accuracy and audit trails. CFOs and other C-suite positions demand intelligent escalation: AI that operates autonomously but escalates with context when needed.
The findings reveal a market stuck, perhaps inevitably, between two broken models. AI copilots – whether standalone or embedded in legacy tools – still require accountants to review transaction by transaction, delivering single-digit productivity gains. Plus, AI agents – black-box LLM wrappers with finance branding – promise full automation but deliver unacceptable risk: no way to verify accuracy, no real audit trail, and low understanding of business context.
What does this mean for the top of a typical corporate entity? CFOs want neither babysitting nor black boxes. They want what they are calling “intelligent escalation” – AI that operates autonomously on routine transactions but knows when it’s encountering ambiguity and escalates with full context. One CFO put it simply: “We need an autopilot – fast, accurate and with the sound judgment of our most reliable accountant.”
The bottleneck is not AI intelligence – instead it is about AI judgment. As foundation models get smarter, the differentiator isn’t raw capability – it’s understanding business context, company policies, and when a decision requires human input. Speed and accuracy are table stakes. Judgment is what separates automation from intelligent escalation.
Too many tools seek full control with zero transparency, or they created more work for teams. Instead, CFOs are seeking an AI that can handle the routine with speed and precision and knows exactly when to bring a human into the loop. In other words, CFOs are seeking AI that knows its limits. This means systems that are verifiable, operate autonomously when appropriate, and demonstrate judgment about when to act and when to escalate.
The study makes clear what finance leaders demand: speed, verifiable accuracy, full audit trails, and intelligent escalation – AI that earns the right to operate autonomously by demonstrating judgment about when to act and when to ask.
