What about hallucinations? Can the model make up a policy or a clause?
It can be wrong; no model is infallible and we don’t promise otherwise. That is why it answers from the permissioned knowledge base: it searches your documents and cites the source. Every week we measure the share of answers supported by the documents they cite, with automated grading and a sample reviewed by people. Unsupported answers go to a person.
These are metrics 2 (answers supported by sources) and 3 (handoff to a person) of the governance framework, reported weekly. Thresholds are a practice, not a standard, and are agreed in the Assessment.
Sources
- DEBIR governance framework, metrics 2 and 3.
- DEBIR glossary: permissioned knowledge base.
Regulatory framework verified against primary sources on November 1, 2026.
- What data leaves my perimeter when I use private AI?
- Do you use our customers’ data to train the model?
- How are data subject rights and the right to object to automated decisions handled?
- What happens if there is a data breach in the system?
- How is the system isolated from the internet and the public cloud?
Discovery sessions, no commitment
With technology, compliance and two process owners. Includes an offline demonstration prepared for your sector, without using your company’s data.
Inventory and obligations
Data in four levels and a first review of what your sector requires.
Three candidate use cases
And the Assessment proposal. The Discovery is credited against the Assessment.
Founding clients program
Three seats, with an explicit discount in exchange for a publishable case and a reference.
Terms
Discovery and evidence pilot at no cost, Assessment at a discount, in exchange for a publishable case, a reference and feedback. Continuous operation is always paid at list price.