How to Audit Your AI Vendors: A Practical Guide to Third-Party Risk

Most companies use more AI vendors than they realize.

The resume screener, the chatbot, the tool that scores candidates: each one shapes a real decision about a real person. Under AI obligations that took effect across the EU, UK and South Korea in 2025 and 2026, the organization deploying the tool answers for its outcomes, not the vendor that built it.

This guide walks compliance, HR and legal teams through a five-step audit of the AI already inside the company:

Map every tool in use, documenting what each vendor does and which decisions it touches: hiring, compensation, advancement
Ask the questions that expose a weak vendor, including bias audit results and whether your data trains their model
Apply the 80% adverse impact benchmark in plain language, with guidance on reading outcome data by demographic group
Review contracts for the terms that matter: audit rights, renewal, and where liability actually sits
Get a clear read on the AI obligations already in force across the US, EU, UK and South Korea

Download the guide and audit your AI vendors before a regulator does.

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