The so-what: AI as a repeatable value-creation lever
For a sponsor, AI is only interesting if it moves EBITDA and the exit multiple — reliably, across the book, without a science project at every portco. The risk isn’t that AI doesn’t work; it’s that each company “does AI” differently, governance is an afterthought, and you can’t see across the portfolio. We give you one governed play you can run company after company, pointed at the metrics that move enterprise value.
You don’t need one portco to get lucky. You need a play that travels.
Where it earns its keep
- Diligence & deal processing — agents that read CIMs, data rooms, and financials to speed screening and surface risk before you commit. Compress weeks of analyst time into days.
- 100-day plan execution — turn the value-creation plan into live workflows and dashboards, so the first two quarters actually happen instead of slipping.
- Portfolio-wide visibility — unify fragmented portco data into a KPI rollup built for exec and investor reporting. One view across the book, not twelve spreadsheets.
- Margin & back-office automation — the unglamorous work that compounds: quote-to-cash, AP/AR, reporting, close acceleration — deployed as a repeatable pattern per portco.
Example build: a diligence agent that reads a full data room in days, not weeks — surfacing risk before you commit.
(Illustrative — your scope and numbers depend on your operation.)
How we deploy across a portfolio
We prove the play at one or two portcos through AI Office — one build, one KPI, live in weeks — then run and scale it across the portfolio. Deploy Operator or Embedded at the four-to-six companies where the EBITDA upside is highest; start the rest with AI Sherpa, a guided 3-month program that gets a portco’s leadership fluent and pointed at its first automation. Before building on a portco’s existing systems, a System Evaluation tells you what you actually bought; for the deal itself, Technology Due Diligence is a fixed fee. Security, governance, and reporting are installed on day one, not bolted on before exit. For a portfolio-level read on where middle-market companies actually are with AI, see our State of AI in the Texas Middle Market report. If you are the operating partner carrying the number, AI for the PE Operating Partner is written for your seat.
Common questions
How do you keep it consistent across portcos? One governed playbook and one accountable team — the same approach, instrumented for portfolio-level visibility, adapted to each company’s stack.
How fast is the first proof? Weeks, not a deck in months. AI Office ships a working build with a KPI behind it — baselined before the build, reported against after.
Is it cheaper than an AI lead at every portco? Far cheaper — and you don’t recruit one twelve times. You get a senior team, already vetted and managed, deployable across the book.