A company has a policy that says:
"Customer PII must not leave approved systems."
The policy has been reviewed. Security signed off on it. The AI use case went through the proper assessment. On paper, everything looks right.
Then the development team builds the agent.
They define what systems it can access, what APIs it can call, and what the workflow needs to do. But somewhere between the policy document and the implementation, one important thing gets lost:
The policy never becomes a requirement the agent actually has to satisfy.
- It is not in the acceptance criteria.
- It is not translated into checks around where customer data can be sent.
- And nothing in the workflow evaluates the action against that policy before it happens.
So one day the agent is processing a perfectly normal customer request and is about to send customer PII to a service that was never approved to receive it.
The policy says that should never happen. But the system was never built to know that.
Froda AI provides runtime governance infrastructure for autonomous AI systems — turning approved policy into controls the agent is evaluated against before every action. Request a demo.
