How do PE firms use AI during diligence?

Private equity (PE) firms use artificial intelligence (AI) during due diligence to analyze large volumes of information, surface relevant findings and reduce the manual work required to evaluate an acquisition target. The objective is not to automate the investment decision. It is to help deal professionals reach the information that informs that decision faster.

A typical diligence process can include financial statements, contracts, customer data, management presentations and operational reports. Reviewing these materials across multiple workstreams creates an information challenge alongside the analytical one.

AI can help PE teams address that challenge by moving diligence beyond manual document review toward faster information discovery, while keeping investment professionals responsible for interpreting findings and determining their significance.

Use AI to find information faster

One of AI's most practical applications during diligence is helping professionals understand what is contained within large document sets.

Traditional search often requires users to enter keywords, open multiple files and locate relevant passages manually. AI-powered search and conversational tools can provide another approach by allowing professionals to ask natural-language questions across applicable diligence materials.

A PE professional investigating a target might ask about customer concentration, change-of-control provisions, debt obligations or other issues relevant to the investment thesis. AI can surface information and point professionals toward the underlying source material for further analysis.

This evolution toward AI-powered information discovery can shift time away from searching for information and toward understanding what the information means for valuation, risk and the potential acquisition.

Combine AI with structured diligence workflows

Document analysis is only part of private equity diligence. Teams also need to manage the process surrounding it.

Investment professionals may coordinate hundreds of requests across finance, legal, tax, HR, technology and commercial workstreams. AI delivers greater value when information discovery is connected to this structured workflow rather than operating as a standalone tool.

Centralizing requests, responsibilities and supporting documents creates context around the information being analyzed. Deal leaders can see which items remain outstanding, identify potential bottlenecks and focus attention on areas requiring additional investigation.

A more connected approach to streamlining buy-side diligence can therefore combine workflow visibility with AI-powered analysis, helping PE teams reduce administrative effort while maintaining discipline across the diligence process.

Apply AI with DealCentre AI

SS&C Intralinks DealCentre AI™ Diligence brings AI-powered intelligence and structured diligence workflows into a secure transaction environment.

Ask Link allows authorized users to ask natural-language questions about applicable deal documents and receive answers with source references. It respects existing document permissions, helping users investigate information without separating AI analysis from the access controls governing the transaction.

Link, Intralinks' purpose-built AI assistant, can also generate document summaries and locate and extract specific information. Alongside these AI capabilities, Diligence Tracker gives buy-side teams a centralized workspace for managing requests, responsibilities and progress across proprietary acquisitions.

For PE firms, the opportunity is to make AI part of a disciplined diligence process. When intelligent document analysis, request management and secure deal information work together, professionals can spend less time searching and coordinating and more time testing assumptions, investigating risks and building investment conviction.