The premium is paid at close; in AI-era deals, it is earned only if the operating system can hold the value that was underwritten. In Episode 3, The Value Capture Finale: From Integration Plan to Governed Operating System, we show why AI does not make integration easier; it makes integration more value-critical. You will learn how models, data, workflows, people, and governance must connect inside the acquirer’s environment, how to use a Value Leakage Register to manage post-close risk, and how a Day 1, Day 30, Day 100, and Day 365 cadence ties the deal thesis to telemetry and reinvestment. If your job is to earn the premium after close, this is the episode to bookmark.

“AI-enabled” language is now cheap; in this environment, traditional diligence alone cannot protect a premium. In Episode 2, The AI Diligence Stack: How to Underwrite Data, Models, Governance, and Terms, we move from thesis toevidence and walk through a nine-workstream diligence system built for AI-era transactions. You will learn how to verify data rights, model performance, governance maturity, compute economics, security, IP position, talent durability,customer adoption, and vendor dependency, and how those findings feed an AI risk register. The episode then shows how to turn that register into valuation adjustments and AI-specific terms so the premium is defended before capital leaves the building.