If you are shipping LLM features, the question is not whether something will break. It is whether your workflow makes the break visible, bounded, and recoverable. The SCBE AI Governance Toolkit is a starter surface for that.
Where it breaks: prompt injection, policy drift, and accidental data exposure when the bot touches real inboxes and docs.
Where it breaks: the model executes the wrong operation confidently. The blast radius is the point.
Where it breaks: malicious pages, contaminated transcripts, or toxic corpora enter your data lane quietly.
Pick one workflow you already run (email triage, transcript collection, web research). Put a governance boundary in front of actions, and ship the smallest defensible version. The toolkit is designed to help you do that without spelunking a whole repo.
If you want the full SCBE repo later, great. But most buyers do better when they begin with a product that has one clear delivery path.