Solutions · Teams running AI in production
Keep your chatbots and agents in bounds — with a record you can show.
You have AI answering customers or taking actions. You need it to stay inside the lines, stop before a costly mistake commits, and leave proof of every call for the people who will ask.
What does it
- Chatbot guard →
one guard call between your users and your bot — allow, take a look, or block, each check written down.
- Agents →
build, grade for steadiness, and arm an agent; every write to your systems is held for a person by default.
- Rules →
plain-language rules decide what happens when something looks wrong — no code to change the policy.
See it work
Walk the agent runtime →See build → grade → arm → run → held-for-a-person, and the guard tutorial end to end.Frameworks it maps to
- EU AI Act — human oversight (Art. 14)Engine maps it — control pack in progressthe held-for-a-person gate is the mechanism; the mapped control pack is in progress.
- NIST AI RMF — Measure / ManageEngine maps it — control pack in progressthe steadiness grade and the record map to the measure-and-manage functions.