AI Enablement
Shadow AI in Finance: What's Already Happening
An analyst on your team probably has a ChatGPT tab open right now. There's a decent chance it holds a variance number or last month's actuals.
Nobody approved that. Nobody has to. Building a variance summary by hand takes an hour, and an AI tool drafts the first pass in two minutes. Faster wins every time, whether Finance has a policy for it or not.
Your analysts are solving a speed problem. Many finance teams have no AI policy at all, so there is no rule for anyone to break. The behavior fills a gap your team hasn't closed yet.
That gap is the real issue. Your people have found a faster way to work, and Finance hasn't given them a version of it that is safe to use.
The instinct is to lock it down. Block the domains and send the memo. In practice, that usually moves the behavior somewhere Finance can see even less: a phone instead of a laptop, a personal account instead of a work one. The paste happens either way. What changes is whether anyone can find out it happened.
Before you write a policy, name what's at risk:
For most finance teams, the honest answer to all three is that nobody knows.
The fix is a version of AI your team is allowed to use. It answers only from reports Finance has already approved. It also keeps a record of every request: who asked, and what each report returned.
It can even be the same assistant. Your team keeps working in Copilot or Claude, connected to the reports Finance publishes. Your analysts keep the speed they came for, and Finance gets the visibility it was missing.
That's the idea behind Business AI that Finance controls. The AI still does the work. Finance decides what it's allowed to see.
Next in this series: what governed AI means for a finance team, in plain language.
To see governed access working on your own reports, start with AI Enablement.
Finance stays in control.