🔎 AI Audit: The Next Wave of Due Diligence: How private equity and venture capital firms are now using AI audits to assess target companies' tech debt, data governance, and compliance risks before acquisition.

The show and its source material outlines the critical shift in mergers and acquisitions (M&A) due diligence from "AI-Driven Diligence" (Wave 1), which uses AI tools to automate document review, to the more crucial "AI Audit" (Wave 2), where the target company’s AI assets themselves are the subject of scrutiny. This new auditing imperative for private equity and venture capital firms is driven by the need to uncover hidden liabilities such as machine learning technical debt, poor data governance practices, and a complex compliance minefield, particularly concerning new regulations like the EU AI Act. The AI Audit employs a systematic framework across three pillars—Technical Soundness, Data Governance, and Legal Compliance—to accurately price risks, distinguishing between assets that warrant a premium valuation and those requiring steep discounts. Ultimately, the audit acts as both a risk mitigation tool before the deal closes and a post-acquisition integration roadmap, with specialist firms and the Big Four advisory actively developing new services in this high-expertise domain.

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