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Leading firms are no longer content with tracking performance — they’re leveraging enterprise-grade systems and AI that create performance engines. The next era of value creation will be powered by AI and driven by four core pillars.

Artificial intelligence has moved rapidly from hype to reality in private equity. AI is the engine. But without high-quality data as fuel, it can’t deliver value.

A recent article in Private Equity International highlighted just how quickly this shift is happening. The majority of GPs now rank AI as a top strategic priority, citing benefits such as efficiency gains, better data and reporting, improved decision-making, and stronger risk management. LPs are also beginning to explore practical use cases in areas like portfolio monitoring, deal sourcing, and performance analysis.

Your competitive edge isn’t built on what systems your portcos use. It’s built on how fast you can turn their data — any data — into action. 

Templates will always feel safe. But insights don’t live in Cell F29.

Modern PE funds are moving beyond templated reporting for faster, clearer, more actionable insights.

European private equity firms are falling behind the US in AI adoption, hindered by strict regulations and data management challenges. With the EU AI Act on the horizon, the gap is widening—threatening Europe’s global competitiveness.

The private equity industry has recognized the potential of data analytics for value creation, yet the research findings reveal a widespread ineffective utilization of these tools.

To gather the insights presented in this research, we conducted interviews with industry experts and surveyed 150 individuals working in private capital firms across the UK & USA.