Overview

This book is a Practical Framework for Navigating AI Vendors and Protecting Your Organization. Inside this playbook, you will find: 50 critical questions to ask AI vendors to uncover hidden risks in their data, algorithms, and security. A clear logic tree to help you decide when to develop in-house and when to partner with a third party. How to run a ""low-stakes, high-insight"" test before committing to a long-term contract. Ready-to-Use Toolkits: the AI Risk Register Template, the Vendor Scoring Matrix, and an Implementation Governance Blueprint. You don't need a PhD in Computer Science to be a responsible AI buyer. You need a process. Whether you are looking at a small automation tool or a massive generative AI overhaul, this playbook provides the guardrails you need to innovate with confidence.

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