The agent reports what it did. Pruvz provides the evidence of what happened.
An agent tells the customer the refund is complete. Pruvz checks the system of record, independently and without slowing the agent down, and keeps the evidence.
Transcript
- The thesis
The agent reports what it did. Pruvz provides the evidence of what happened, checked independently in the system of record. AI agents approve refunds, change orders and update systems, at machine speed.
- The story everyone accepts
A customer asks for a refund. The agent calls the payment system, gets an accepted response, updates the CRM and tells the customer: your refund is complete. As far as everyone is concerned, the story is over.
- The gap
But an agent's report does not always prove what actually happened. Sometimes the gap only shows up when the customer comes back to complain.
- An independent check that does not slow the agent down
Pruvz captures the agent's claim, then independently checks the system of record without slowing the agent down.
- The Business Evidence record
For every business action Pruvz verifies, it creates a Business Evidence record: what the agent saw, the policy in force at the time, what it decided and what it tried to do. Then it reads the system where the outcome should have been recorded, and shows every gap together with the evidence behind it.
- The same record for other business actions
The same record can be built for other business actions, such as: an insurance claim, a subscription cancellation, a customer approval, an order change, a permission grant or an account update.
- The thesis, again
The agent reports what it did. Pruvz provides the evidence of what happened.
See the full flow, including the run where the refund never happened.
The recorded end-to-end product demo shows a real AI agent working a refund case, Pruvz verifying it against the systems of record, a caught mismatch, and the human review decision that closes the loop. 4 minutes 27 seconds, with transcript.