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.

This report presents the views of 35 private equity professionals – more than 40% of whom are UK fund managers, 15% European-based, and 30% from the US – on dealmaking, exits and venture capital, based on a survey carried out by Private Equity Wire during February 2023. The results were discussed with a range of named and unnamed private equity sources, primarily based or working in UK private equity, during March 2023.

Without smart tooling and processes in place, data from various systems will quickly revert back to idle silos that leak revenue, lead to missed opportunities, and stall growth. Companies are losing 20-30% in revenue every year due to inefficiencies

The way CEOs manage revenue forecasting is rapidly changing – to accurately predict future revenue, organizations require efficient processes and tools to generate and disseminate real-time data that reflect rapidly changing circumstances.

The silent killer costing companies up to 30% in lost revenue every year. With a looming economic downturn on the horizon, CEOs face increased pressure on growth and cost reviews as revenue opportunities quickly decline.