Private Equity

AI readiness across the portfolio.

Your portfolio companies are making AI decisions independently. Some are overspending. Some are underinvesting. Most have no framework for evaluating either. One engagement gives you visibility across holdings and a standardized basis for board-level AI conversations.

The Operating Reality

Every portfolio company is navigating AI alone

Visibility

No portfolio-wide view

Each company is making independent AI decisions with different vendors, different frameworks, different risk profiles. The operating partner has no standardized lens across holdings.

Timing

Hold period pressure

AI capability affects valuation multiples at exit. Companies that have a defensible AI position and operational efficiency gains command better outcomes. The ones that bought tools and changed nothing do the opposite.

Wage Economics

The compensation gap is an IRR risk

Workforce costs are rising structurally. Companies that use AI to eliminate processes and redirect savings into competitive compensation hold talent. The ones that treat AI as a headcount play lose it.

How We Engage

Two models. Same operating partner relationship.

Portfolio-Wide

AI Readiness Assessment — Across Holdings

Standardized AI readiness evaluation across 5–10 portfolio companies. You get a portfolio-wide view: who's ahead, who's exposed, where capital allocation has the highest return, and what the board needs to hear at the next meeting.

Deliverable: Board-ready portfolio AI assessment with company-level scorecards, risk flags, and recommended capital allocation priorities.
Timeline: 60–90 days depending on portfolio size.
Reports to: Operating partner or value creation lead.

Company-Level

Fractional CAIO — Single Portfolio Company

Embedded AI executive inside one portfolio company that needs leadership. Weekly engagement, internal meetings, vendor oversight, governance build-out. Accelerated timeline aligned to hold period and value creation plan.

Deliverable: Functioning AI strategy and governance inside the company. Exit-ready AI positioning.
Timeline: 6-month minimum engagement.
Reports to: Portfolio company CEO with operating partner visibility.

Research

Wages Will Rise — the PE briefing

The compensation gap is a structural risk to portfolio returns. This paper maps the economics: where the gap sits, how AI-enabled process elimination funds the correction, and what happens to companies that treat AI as a cost reduction tool instead of a wage correction tool. Written specifically for PE operating partners and value creation teams.

Read the Paper →

Why AI A Innovations

What we bring to the operating table

Vendor-neutralWe evaluate. We recommend. We have no platform to sell and no referral fees to collect.

Mid-market native30+ years in companies your portfolio companies look like. $20M–$100M revenue, operator-led, resource-constrained, board-accountable.

Standardized frameworkThe same assessment methodology across every portfolio company. Comparable data. Defensible at the board level.

Exit-orientedEvery recommendation is filtered through the question: does this improve the exit? If the answer is no, we say so.