If your company is PE-backed, AI has already appeared in a document that matters to you: the value-creation plan. It's now a standard line — alongside pricing, procurement, and add-on M&A — and it comes with a new experience for portfolio company leadership: an operating partner asking AI questions in a quarterly review, expecting answers with evidence behind them.
The questions they actually ask
The pattern is consistent across firms. "Where is AI in your cost structure and your margin story?" — they want quantified opportunity, not enthusiasm. "What's our exposure?" — shadow AI, data leakage, vendor terms, and anything that could surface in exit diligence. "Who owns this?" — a name, not a committee. "What did the pilots produce?" — measured results against a baseline, not adoption anecdotes. And increasingly: "How does this read at exit?" — because the next buyer's diligence team will ask all of the above with subpoena-grade thoroughness.
Why "we're piloting" fails the room
"We're piloting Copilot" sounds like progress and lands like a shrug, because it contains no baseline, no measurement, and no owner. An operating partner has seen a dozen portfolio companies say it; they've also seen which ones could follow it with numbers. Pilots without baselines aren't early progress — they're deferred questions, and the questions compound toward exit.
The scored answer
What changes the conversation is a readiness and risk assessment: a six-dimension scorecard where every score cites evidence, a risk register your deal team can hand to insurance and legal, a use-case portfolio with ROI modeled on the company's own numbers, and a costed roadmap that slots directly into the value-creation plan. Now the quarterly review sounds different: "We scored 2.9 overall, our data dimension is the constraint, these three use cases carry a modeled $840K annual impact, and here's the twelve-month plan with owners." That's a leadership team that looks like it runs things — which, fairly or not, is also what's being evaluated.
The portfolio-standard move
The operating partners getting furthest run the assessment as a portfolio standard: the same methodology across every company, producing comparable scores, a portfolio-level risk view, and an honest map of where the fund's AI dollars should concentrate. Fixed-fee assessments make the economics predictable across ten companies in a way hourly consulting never can — our tiers are published on the pricing page for exactly that reason.
The exit angle
Everything above compounds at exit. Governed AI — policy, register, measured workflows, clean vendor terms — is becoming part of the quality-of-earnings picture, and ungoverned AI is becoming a diligence finding. The cheapest time to fix that story is two years before the banker's deck, not two weeks.
If you're a portfolio company expecting these questions, or an operating partner tired of asking them without getting numbers back, book a briefing — we'll show you what the scored answer looks like for your situation. A good first step before the next quarterly review: the six-dimension self-check your leadership team can run in one meeting.