Most PE boards now have an AI slide somewhere in the pack.
It usually looks impressive. A chatbot for policies. A prettier forecast chart. A memo that took forty minutes instead of four hours. Nobody wants to admit the awkward part: none of that changed Monday morning.
If you are the interim CFO walking into a PE-backed holdco, that distinction is the whole job. There is AI that compresses the close, sharpens covenants and tells the truth about cash. And there is AI that writes nicer decks. Only one of them moves a hold period.
Theatre is not neutral
Theatre is expensive because it steals attention. Sponsors hear “AI in finance” and assume the control environment just got tighter. What they often got is a thin wrapper over the same late pack, the same reconciling nightmare, and the same working-capital surprise three days before the lender call.
I am not anti-tool. I run a serious AI stack in my own work. The test is brutal and fair:
Did a decision move earlier, with better evidence, than it would have last quarter?
If the answer is no, you bought content production. Call it that. Do not call it transformation.
Three workflows that actually move a PE hold
Ignore the vendor map for a minute. In a typical mid-market PE asset, three finance workflows earn their keep.
1. Close compression that is real, not cosmetic.
The close is still where trust is made or destroyed. AI helps when it attacks the bottleneck chain: flux narratives drafted from the actual trial balance movements, exception queues ranked by materiality, intercompany breaks clustered by pattern instead of hunted one by one. It does not help when someone pastes a half-reconciled P&L into a chatbot and asks it to “explain variance” with no tie-back to source.
What good looks like: board pack numbers lock earlier, commentary cites the same source the controller trusts, and the CFO stops spending Sunday night rewriting slides that should have been true on Thursday.
2. Covenant and cash early-warning — before the breach conversation.
Lenders do not care that your deck is eloquent. They care whether you saw the turn in advance. The useful stack watches bank actuals, order book, receivables ageing and inventory truth on a cadence shorter than the monthly myth. Models can flag trajectory toward a covenant headroom problem while you still have levers. Models cannot invent headroom you already spent.
If your “AI treasury insight” cannot show the last thirteen weeks of cash and the next eight with honest driver notes, it is jewellery.
3. Working-capital truth that survives diligence tone.
PE holds live and die on cash conversion. AI is useful when it forces the ugly questions into the open: who is shipping without billing discipline, which SKUs are museums, where overdue is a commercial choice dressed up as admin lag. The output should change collections behaviour and purchasing behaviour — not produce a heat map nobody acts on.
Exit narratives love “AI-enabled operations.” Buyers’ diligence teams love bank statements. Align yourself with the second group.
What to starve
Be rude about the rest, at least internally.
- Generic chat over unstructured drives with no retention, no permissions model, and no citation path back to the ERP.
- Auto-generated board prose that smooths over a late close. Pretty wrong is still wrong.
- Pilot theatre that never touches the month-end calendar, the bank feed, or the covenant workbook.
- Tool sprawl where every function buys a different assistant and finance inherits the reconciliation of the assistants.
If a tool cannot name the system of record it reads, the control owner, and the decision it accelerates, it is a toy with an invoice.
The interim CFO test in the first thirty days
When I land in a PE-backed finance function, I do not start with a vendor bake-off. I start with the Monday morning stack:
- What does the CEO actually ask every week?
- What does the board pack still get wrong under pressure?
- Where does cash surprise still live?
- Which close tasks burn senior time that a junior plus a model should own?
Then we wire AI into those seams — with human sign-off still sitting on anything that hits lenders, auditors or public numbers. AI amplifies the operating system you already have. If the operating system is chaotic, AI makes the chaos faster. That is not a technology failure. That is a leadership tell.
For sponsors and chairs
Ask better questions in the next IC or board slot:
- Which decision moved forward by at least one week because of this tool?
- What is the system of record, and who signs the output?
- Did close day-count, covenant headroom visibility, or cash conversion change in a measurable way?
- What did we stop doing because the model took the grind?
If the answers are all narrative, you are funding theatre. Theatre photographs well in a value-creation plan. It does not reprice an exit.
The point
The PE cycle is rewarding operators who can see clearly under stress. AI belongs in that story only when it shortens the distance between messy reality and a decision a grown-up will own.
Nicer decks are optional. Monday morning is not.
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