Introducing Our New Free E-book on Enterprise AI Risk & Validation

AI systems are moving into real workflows fast, but validation remains a huge challenge. In our conversations with leading AI teams, we’ve heard the same challenges many times: how to prioritise models for validation, how to automate processes and what to pay attention to.

Many teams do not have much choice but to rely on manual checks, brittle testing setups, or hold back AI deployment because behaviours can’t be adequately checked.

Best practice information on how to tackle the risk and validation challenge is spread across many sources from regulations to vendor information and blog posts.  

With this e-book our aim is to bring the current best thinking together to help address that gap and help teams identify what they should be doing next.

The Enterprise AI Risk & Validation Handbook is a practical guide to validating and deploying AI systems more safely. It covers governance, testing, safeguards, monitoring, escalation, and operational oversight.

We’re publishing it alongside Spec27 because both reflect the same view: if AI is going to be used in production, validation needs to move beyond manual, ad hoc processes. Spec27 brings that into a specification-driven product. The e-book sets out the broader operational thinking behind it. 

Download the e-book here.