AI Questionnaire Response demo

What the demo shows

Answers customers' AI-use questionnaires from your AI policies and model records, each cited

Eight agents read the questionnaire in any format and work out which AI features this customer has switched on. They draft each answer from the matching system card field and policy clause, with the field highlighted beside the question. A register checker holds any answer whose card is older than the latest release and asks the owner to re-attest. A consistency agent compares every answer with what other customers were told and drafts corrections. A commitment guard sends promises to privacy counsel, and questions with no source go to their owner on a clock. The AI governance lead signs only what is new, changed or a promise, and the answers go back in the customer's own file.

Transcript

1. 0:00AI Questionnaire Response answers customers' AI questionnaires from your policies and model register.
2. 0:08Four AI governance leads, now that the EU AI Act applies.
3. 0:15Call to Rail sends 96 questions.
4. 0:19Agents scope three AI features and draft every answer.
5. 0:25Train on customer data?
6. 0:26No, citing AI use policy 3.1.
7. 0:31Beside it, the summarizer system card, with the answering field highlighted.
8. 0:39Citations open the passage.
9. 0:4123 customers were told the same.
10. 0:45Maya approves the 76 cited, current answers in one review.
11. 0:52A stale fault predictor card holds eight answers until its owner reattests.
12. 0:58Two customers were told EU only.
13. 1:01The agent proposes the fix and corrections.
14. 1:0690 days notice goes to privacy counsel who holds it to 30.
15. 1:12Every answer cited, every decision signed, every step logged.
16. 1:19Maya signs 92 for followed by a date in Calder's own file.
17. 1:25Built on Botminds: agents, data, screens, and governance on one platform.

Transcribed from the film’s narration. Captions are on the player.