Korn Ferry recently published research on an emerging role in private equity: the AI Operating Partner. Their finding is straightforward — as AI capabilities accelerate, PE firms are creating dedicated positions to help portfolio companies deploy AI effectively. The research identifies three archetypes: entrepreneurial AI founders, technical product leaders, and executive technology leaders. All three bring real value.

But for most mid-market PE firms, the question isn’t whether to hire a dedicated AI operating partner. It’s whether the operating discipline exists to make any AI investment productive.

AI amplifies whatever already exists. If execution is disciplined, AI accelerates outcomes. If execution is scattered, AI creates expensive distractions.

The businesses that get the most value from AI aren’t the ones with the most sophisticated models. They’re the ones with the clearest priorities, the tightest operating cadence, and the strongest accountability structures.

Korn Ferry notes that mid-market firms are pursuing “customized, rapid approaches with proof-of-concept timelines of 2–4 weeks.” That speed only works when the business has the operating infrastructure to evaluate results, make decisions, and scale what works. Without that foundation, a two-week proof of concept becomes a two-month exercise in organizational confusion.

The firms that deploy AI most effectively treat it as an operating question, not a technology question. They ask: What decision are we trying to improve? What data already exists? Who owns the outcome? Those are operating leadership questions, not engineering questions.

For PE sponsors evaluating AI readiness across a portfolio, the first assessment shouldn’t be “which companies can use AI?” It should be “which companies have the operating discipline to deploy it responsibly?” That’s the question that protects enterprise value.

AI governance — understanding what tools are deployed, how they’re being evaluated, and what the risk exposure is — is increasingly material to diligence. Acquirers are asking: What AI tools are you using? Have they been tested for bias? What governance is in place? An operating leader who can answer those questions credibly during a transaction creates real value.

The AI Operating Partner role will grow. But for most portfolio companies, the path to productive AI adoption runs through stronger operating leadership first.

Based on: The AI Operating Partner: The Latest PE Portfolio Value Creation Role? — Korn Ferry Institute