As organizations increasingly rely on artificial intelligence and general-purpose AI, vendor selection has become a board-level risk decision. AI Vendor & GPAI Due Diligence provides a practical, executive-focused framework for evaluating AI providers before contracts are signed and risks are transferred.

This book addresses the hidden operational, legal, and governance risks embedded in AI vendor relationships. It explains what boards, procurement leaders, and executives must ask about model provenance, data sources, security controls, regulatory exposure, and liability allocation.

Readers will learn:

• How to assess AI and GPAI vendors beyond marketing claims • What questions boards should ask before approving AI investments • How to evaluate model provenance and training data lineage • Key contract clauses for risk, accountability, and liability • How emerging regulations such as the EU AI Act, affect vendor selection • Practical due diligence checklists for procurement and governance teams

Written in a practical and strategic tone, this book equips decision-makers with the tools needed to approve AI vendors confidently-while protecting the organization from regulatory, reputational, and operational risk.