How PE-Backed Businesses Operationalise AI for Measurable Returns

A practical framework for PE investors, operating partners and portfolio company leadership — drawn from Renovata’s panel event in London.

Only 5% of businesses are realising meaningful returns from AI — a figure confirmed by MIT research and reflected in nearly every PE boardroom conversation today. The gap between AI ambition and actual EBITDA impact is not a technology problem. It is a leadership problem.

In November 2025, Renovata convened three C-suite AI practitioners — including the Chief AI Officers of WPP and Virgin Active — for a closed panel discussion in Central London. The question on the table: what actually separates the organisations making real progress from those stuck in pilot mode? The answer, consistently, came back to the same place. Not the technology stack and not the data infrastructure but instead the quality of leadership and the people directing AI strategy.

The framework covers five core disciplines: starting with business problems not technology, why leadership AI literacy outperforms technical hiring, the build-versus-buy-versus-partner decision matrix, a tiered implementation model that builds organisational capability progressively, and how to construct an adaptive organisation that does not become obsolete as the technology shifts.

For any GP evaluating AI readiness in a target, any operating partner deploying AI across a portfolio, or any portfolio CEO facing board pressure to show AI ROI — this is where to start.

What this report covers

Panel contributors