What happened
Dentsu Group embedded generative AI in its accounting approval process and says it reached 99％ accuracy on the targeted work; early on, human and AI judgments matched only 15.4％. It kept a human decision in the loop.
Why it matters
Even after digitizing purchase requests, checking amounts against quotations and confirming internal rules stayed manual, so more requests meant more checking work; AI is meant to take on that load.
What to watch
The 15.4％ match rate and the later 99％ figure suggest the fix was not AI alone — Dentsu's review also questioned where human approval itself should change, according to CIO/CISO Shuji Nezu.
WHO IT HITSThis lands on finance and accounting operations teams — the back-office staff who reconcile purchase orders with quotations and check internal rules — as a sign that generative AI can absorb part of that approval workload, while a human sign-off is likely to remain.
Summaries like this, every morning.
Digitizing a purchase request does not by itself remove the human work behind it. Someone still has to match the order amount against the quotation, confirm it follows internal rules, and decide how to treat exceptional transactions. Once paper and seals became an approval button on screen, that checking work remained — and the more requests came in, the more of it there was to do.
Dentsu Group's answer was to put generative AI into the approval step of its accounting system. The starting point was not smooth: in the early stage of testing, human and AI verdicts agreed only 15.4％ of the time. As the team changed models and adjusted prompts, it also found that the human approval side had points worth revisiting, not just the AI.
The larger question is where the line between AI and human judgment should sit. Dentsu says it reached 99％ accuracy on the targeted work, yet did not leave the decision to AI alone — a sign that for this kind of checking, the value of the AI may lie as much in how it reshapes the human review around it as in the accuracy number itself.
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