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In nearly every PE engagement I step into, the same question comes up: “How should we be using AI correctly for real value creation?”
LPs and buyers alike are pressing portfolio companies for a clear, credible answer. And they should. Capital is currently more expensive, exits take longer and leveraging new innovation has never been easier; so financial engineering alone won’t cut it. PE Firms’ Operations Portfolio teams know that value creation now depends on how quickly a company can modernise, scale, and prove its resilience. AI has become one of the most powerful levers for achieving this, and it demands measurable, high-impact execution to create real value.
But here’s the catch: most portfolio companies don’t know where to start.
Artificial intelligence isn’t about flashy demos or “AI theatre”: some tools are just a thin layer over a publicly available LLM. When done right, AI growth levers drive EBITDA improvement and future-proof a business for an exit. The early signs point to this: Research shows 20% of PE portfolio companies have operationalized AI use cases and are seeing measurable ROI. The opportunities are real:
When AI is treated as a tool in service of strategy, not the strategy itself, value creation follows. Leading PE Firms are already showing what good looks like. Vista Equity believes AI will redefine the “Rule of 40,” targeting 50–60% growth-plus-margin performance. Apollo built a Centre of Excellence to share playbooks and accelerate portfolio-wide adoption, while Hg is using AI to modernise legacy code and boost workforce efficiency.
Too often, I see firms fall into these traps:
The result? Wasted time, wasted spend, and a skeptical Board.
At Chameleon Collective, we take a pragmatic, operator’s view. AI should be tied directly to business outcomes. Here’s a framework I commonly use with clients:
Currently, I’m working with a PE-backed SaaS compliance company that targets SMBs on this exact journey. We started with a readiness assessment, then layered in automation around sales prospecting and marketing workflows. The impact has been immediate: less manual effort for the team, more precision in how they target prospects, and a faster sales cycle. This transformation is tied directly to growth metrics
Buyers and boards don’t just want to hear that a portfolio company is “doing AI.” They want evidence that AI is embedded in operations and delivering measurable outcomes. The companies that can show this will be positioned for premium valuations when it’s time to exit.
Every portfolio company will be asked about its AI strategy. The firms that provide specific answers, including clear wins, operational discipline, and a roadmap for scale, will differentiate themselves in the market.
At Chameleon Collective, our Tech & AI practice helps PE firms and their portfolio companies turn AI from a buzzword into a value creation engine.
If you’re an operating partner or PE exec looking to unlock portfolio value with AI, let’s talk.
Alex Pacia
Expert, Deal Maker, Internal Viewer, Admin, Collective Manager
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