Private equity

AI diligence, before the price is agreed.

A newer Archetype practice. AI risk and opportunity assessment for deal teams, and enablement work across portfolio companies.

The problem

Where this actually gets stuck.

AI shows up in every management presentation and almost none of them survive contact with the detail. Deal teams need a fast, credible read on what's real, what's risk, and what value is genuinely available post-close.

How AI works here

Six places it earns its keep.

01

Pre-deal AI diligence

A fast, honest read on AI claims, dependencies and risk in a target business.

02

Value-creation planning

Where AI can realistically move EBITDA in the hold period, and by roughly how much.

03

Portfolio enablement

Shared playbooks and workshops across portfolio companies rather than one-off projects.

04

Management assessment

Whether the team in place can actually execute an AI plan.

05

Exit positioning

Evidencing AI maturity in a way a buyer will credit.

06

Deal-team fluency

Short sessions so investment professionals can evaluate AI claims themselves.

The ladder

Three ways in, framed for PE.

AI Risk & Opportunity Audit

Four weeks · Fixed fee

Price on request

A complete picture of where AI is already happening, what it risks and what it's worth.

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AI Strategy Engagement

Six to eight weeks · Fixed fee

Price on request

A board-ready strategy and twelve-month roadmap with owners and milestones.

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Fractional AI Director

Two days per month · Rolling

Price on request

Senior oversight that keeps direction, governance and pace after the plan lands.

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Who it's for

  • Mid-market PE funds
  • Deal & investment teams
  • Portfolio operations
  • Value-creation leads

Start with the diagnostic.

Four minutes. You'll get a score and a modelled view of what directing AI is worth.