The CRO series: How AI is rewriting PE's value creation playbook
Thibault Lamy, Associate Partner, Go-to-Market (GTM) at InX, explores how artificial intelligence (AI) is reshaping the way private equity (PE) firms create value across their portfolios — and what it means for the commercial leaders they hire. Don't miss the first instalment and second instalment of this CRO series.
Private equity has always been an information game. The firms that source better, diligence faster and identify operational levers earlier than their competitors win. For most of the industry's history, that edge has come from relationships, pattern recognition and experienced judgment.
AI is not replacing any of those things. But it is compounding them at a speed and scale that is beginning to separate the firms that are paying attention from those that are not.
From static data to live advantage
The traditional PE model generates enormous amounts of data across the deal lifecycle: pipeline activity, portfolio financials, operational KPIs, market signals. For most firms, that data has been retrospective. It tells you what happened, not what is about to.
AI changes that relationship. The firms pulling ahead are not simply using AI to process information faster. They are using it to identify revenue inflection points, operational inefficiencies and market opportunities that were previously invisible until it was too late to act on them. Portfolio data becomes a live, compounding advantage rather than a quarterly reporting exercise.
This shift has profound implications for how PE firms think about value creation — and for the commercial leaders they need to execute against it.
AI across the deal lifecycle
The impact of AI is being felt at every stage of the investment process, not just in back-office efficiency.
In sourcing, AI-driven market mapping is allowing firms to identify targets earlier, with greater precision and at scale. Proprietary data sets, combined with machine learning, are surfacing opportunities that would previously have required months of manual research.
In diligence, AI tools are compressing timelines significantly. Commercial due diligence that once took weeks can now be supported by real-time analysis of customer sentiment, pricing dynamics and competitive positioning. The quality of insight is improving at the same time as the speed.
In portfolio operations, the opportunity is largest of all. AI is enabling portfolio companies to identify revenue leakage, optimise pricing, personalise customer engagement and forecast demand with a level of accuracy that was simply not available five years ago. For PE-backed businesses with compressed hold periods and defined value creation targets, that precision matters enormously.
The commercial leadership implication
None of this runs on autopilot. AI tools require operators who understand both the technology and the commercial context it is being applied to. For PE-backed businesses, that points directly to the Chief Revenue Officer (CRO).
The CRO is increasingly the person responsible for translating AI capability into GTM execution. That means identifying where AI can accelerate pipeline generation, improve conversion rates or reduce customer acquisition costs. It means working alongside data and technology teams to build commercial infrastructure that is genuinely intelligent. And it means presenting a coherent AI-enabled revenue story to the sponsor board, one grounded in metrics rather than ambition.
This is raising the bar for what the best CROs need to bring to the role. Financial fluency and GTM expertise remain essential. But commercial leaders who can also navigate the AI landscape, separate genuine capability from noise and deploy it with discipline inside a PE-backed business, are becoming significantly more valuable.
What this means for hiring
The implications for CRO hiring are real and arriving quickly. The candidate profile that was compelling two years ago is evolving. Firms that are thinking carefully about their next commercial leadership hire are already asking different questions: not just what has this person built, but how have they built it, and are they equipped to build it in an AI-enabled environment?
Finding leaders who combine PE-native commercial expertise with genuine AI fluency is not straightforward. The pool is small, the demand is growing and the ability to assess that combination rigorously requires a search process built for the complexity of the question.
How InX can help
Thibault specialises in placing CROs, CCOs and senior commercial leaders for PE-backed businesses across the UK and Europe. If you are building a GTM leadership team or advising a portfolio company on its next CRO hire, get in touch with Thibault.
This is the final instalment of this CRO series. Catch up on the first and second instalments on the InX blog. To stay up to date with the latest thinking from InX on executive search and commercial leadership, subscribe to InX Connect, our quarterly newsletter.