Elli Peterson's TechCrunch

Three years ago, our fund made a decision that fundamentally altered how we approach deal sourcing, due diligence, and portfolio management. We committed to integrating artificial intelligence across our investment operations—not as a novelty, but as a core capability. What followed was a journey filled with unexpected wins, humbling setbacks, and invaluable lessons that reshaped our understanding of how AI Integration in Private Equity actually works in practice, beyond the conference presentations and vendor promises. The promise of AI Integration in Private Equity was compelling from the start: faster deal screening, deeper analytical insights, and the ability to monitor portfolio companies with unprecedented granularity. Yet the reality of implementation taught us that technology alone solves nothing. The real transformation came from understanding where AI genuinely adds value versus where it creates expensive distractions. Our experience offers a candid look at what actually wor...

Private equity firms managing billions in assets under management face a technical paradox: while they invest in cutting-edge companies, many still rely on manual processes for critical operations like due diligence, portfolio monitoring, and deal analysis. Behind the closed doors of firms like Blackstone and KKR, a quiet transformation is underway. The infrastructure that powers modern PE operations increasingly runs on artificial intelligence systems designed not just to automate tasks, but to fundamentally reimagine how investment decisions are made, risk is assessed, and value is created across portfolios. Understanding AI Service Excellence requires looking beyond marketing promises to examine the actual technical architecture and operational workflows that distinguish surface-level automation from genuine transformation. In private equity contexts, this means systems that can parse complex LP agreements, model financial scenarios across hundreds of variables, flag regulatory com...