AI for Private Equity: A Technology Valuation Playbook

What’s Inside:

Technology risk is a valuation consideration, not a technical footnote.

AI is creating new opportunities to accelerate deal screening and diligence. But speed alone does not improve investment decisions. Without the right governance, data controls, and human oversight, automation can introduce new risks into the workflows that inform diligence, valuation, and ultimately exit readiness.

This playbook provides a practical framework for identifying where AI can improve deal execution, what should remain under human control, and what must be in place before AI is introduced into sensitive investment workflows.

Across eight chapters, deal teams and technology leaders will learn:

The Screening Bottleneck: Where manual review constrains screening capacity and where AI can reduce repetitive work without compromising investment judgment.

• Why PE AI Pilots Stall: The governance, workflow, and data challenges that prevent promising AI initiatives from moving into production.
• What Should Stay Human: How to establish clear boundaries between automation and the investment decisions that require experience, context, and accountability.
• What a Governed Workflow Requires: The architecture, security, source traceability, data residency, and approval controls required before AI interacts with confidential deal data.
• Starting with the Screening Workflow: A practical view of how governed automation can change the screening process at the associate level, from initial review through escalation.
• The Expansion Path: How a proven workflow can extend from screening into diligence preparation, portfolio monitoring, and technology risk management across the investment lifecycle.
• What to Ask Before You Buy or Build: Seven questions for evaluating whether an AI solution has the governance, architecture, and operational controls required for production use.
• From Assessment to Execution: A framework for identifying your firm’s highest-priority screening bottlenecks and technology diligence gaps, then determining where to execute first.

Built for private equity decision-makers: Managing directors and deal team leaders evaluating where AI can improve investment workflows; CTOs and CISOs responsible for governance and technology risk; and VPs and associates responsible for execution.