AI Diligence Memory for Better M&A Decisions
AI Diligence Memory for Better M&A Decisions Every transaction teaches something, but many companies lose those lessons as soon as the deal closes. Notes stay in folders, assumptions disappear into spreadsheets and integration issues are rediscovered too late. A stronger M&A process needs memory. For Livio Andrea Acerbo , AI diligence memory is a practical way to turn transaction experience into reusable infrastructure. It connects AI-augmented advisory, corporate development, turnaround, automation and strategic finance into a process that compounds over time. What diligence memory means Diligence memory is not just a document archive. It is a structured system of questions, risks, patterns, decisions, integration lessons and post-close outcomes. When designed well, it helps teams compare new opportunities against prior evidence instead of starting from zero. AI can support this by summarizing documents, classifying issues, linking recurring risks, and surfacing assumpt...