TECH & IA1 août 2026· 18 min
AI Due Diligence: Complete Methodology for Investment Funds
Investment funds that fail to embed AI due diligence into their deal workflow leave up to 34% of technical risk undetected. This guide delivers a battle-tested, six-pillar framework with scoring rubrics, red-flag triggers, and sector-specific benchmarks drawn from 200+ AI startup assessments.
SOURCES
[1]PitchBook AI & Machine Learning Report 2023 — Global AI Startup Funding Trends and Write-Down Analysis
[2]Stanford HAI — Artificial Intelligence Index Report 2023 (AI Stack Classification and Foundation Model Dependencies)
[3]European Parliament — EU Artificial Intelligence Act, Official Journal of the European Union, August 2024
[4]NIST AI Risk Management Framework (AI RMF 1.0), National Institute of Standards and Technology, 2023
[5]IBM Global AI Adoption Index 2023 — Model Failure Cost Analysis and Enterprise AI Risk Data
[6]Andreessen Horowitz — 'Who Owns the Generative AI Platform?' (Proprietary Data Premium Analysis), 2023
[7]MIT Sloan Management Review — 'Retaining AI Talent in Competitive Markets', 2023
[8]Levels.fyi 2024 Compensation Report — Senior Machine Learning Engineer Salary Benchmarks
[9]Brookings Institution — 'AI Governance and Regulatory Incident Frequency', 2024
[10]Salesforce State of Sales Report 2024 — Enterprise AI SaaS Sales Cycle and Conversion Benchmarks