Executive Summary
With multiple compression across sectors, Private Equity firms need operational alpha — and AI has become one of the most powerful levers to create it. But it only works when applied with discipline.
This whitepaper draws from our work with PE-backed portfolio companies to separate what creates value in 18–36 months from what amounts to a science project that pays off beyond the fund’s hold period. We cover where AI delivers fast ROI, what doesn’t fit PE timelines, and why success is 80% adoption and 20% technology.
The takeaway: when AI investments are tied to specific EBITDA drivers, staged for rapid impact, and supported by strong change management, portfolio companies can add 200–500 basis points to margins and unlock 5–10% revenue growth. That’s how AI contributes to 20%+ IRRs — not through magic, but through disciplined execution.
By the Numbers: What Disciplined AI Execution Delivers



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