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Private Equity

Middle-market sponsors · operating partners · value-creation teams · portfolio companies

Value creation decks all say AI now, and LPs have noticed which ones say it twice. What sponsors actually need: diligence that can tell an AI capability from an AI slide, and portfolio programs that reach EBITDA instead of stopping at a tooling invoice.

What sponsors actually face

Every portco has an AI slide. Almost none has an owner.

The AI section has no ownerThe value-creation plan says AI. There’s no number attached and nobody accountable for it once the deal closes.
Diligence graded off the target’s own deckThe “AI capability” you’re underwriting was assessed mainly from materials the target wrote.
Thirty companies, thirty pilotsEvery portco runs its own experiment, and the second company pays full price for lessons the first already bought.
Exit claims the data room can’t backAn AI-enablement story that a buyer’s diligence team will take apart in an afternoon.
What the leaders are doing

EQT built Motherbrain a decade ago. Your portcos don’t need it. They need owners.

The old way

The AI section of the CIM taken on the banker’s word.

Portco AI pilots with no financial owner, quietly burning $250K before dying.

Every portfolio company pays full price for the same lesson.

“What’s our AI plan?” asked at every board meeting, answered at none.

The new way

Data rooms read and stress-tested inside the exclusivity window.

Every initiative carries an impact estimate, a cost band, a named owner.

One playbook; the second company pays a fraction of the first.

A standing answer for the board, with numbers behind it.

EQT has run Motherbrain, its in-house AI platform, inside sourcing and investment decisions for years: proof that AI in private markets works when it’s embedded in the process, not bolted on.

The strategy consultancies have caught up: BCG’s 2025 executive perspectives and EY’s work on AI value creation both land on the same point: the returns are in the portfolio operating model, not in any single tool.

At your size, the same edge looks like this. Mega-funds solve this with in-house teams. A mid-market sponsor solves it with a repeatable playbook and shared senior ownership: diligence that reads the target’s actual data instead of its deck, a 100-day diagnostic per portco, and one fractional leader across companies so the second implementation costs a fraction of the first.

  • In diligenceTwo-week AI & data DDOn the deal clock: what’s real in the target’s claims, what the data layer supports post-close, what the first 100 days should build.
  • First 100 daysPortco diagnosticA scored use-case portfolio and a 90-day plan, co-owned by the management team that has to execute it.
  • Across the portfolioShared leadershipOne fractional retainer, several portcos, metrics the operating partner can put side by side.

Deal clock → first company → the playbook

What we build

One playbook. Many companies.

  • 01Buy-side AI due diligence on a two-week deal clock: what’s real, what’s rebuildable, what it costs
  • 02Portco diagnostics with a scored use-case portfolio and a 90-day plan per company
  • 03A portfolio playbook so the second company costs a fraction of the first
  • 04Shared fractional AI leadership across several portcos: senior judgment none could hire alone
  • 05Exit-ready evidence: the artifacts that make an AI claim diligence-proof
Where to startDeal Due Diligence (AI & Data): two weeks, fixed fee, built for the deal clock. Post-close, a Portco AI Diagnostic per company, then shared fractional AI leadership across the companies where the roadmap has to get executed. One retainer, several portcos, metrics the operating partner can compare.

Bring the hardest version of the problem.

Book a 30-minute conversation. No deck, no pitch. Video or phone. You’ll leave with a sharper picture of the problem either way.

If it’s not a fit, we’ll tell you who is.