When an automated workflow fails quietly, the damage isn't just the hours lost fixing it.

It's the customer who got a wrong answer, the transaction that went unverified, the decision made by a system nobody was watching closely enough.

That's the real risk enterprises weigh before deploying AI agents into anything customer-facing or transaction-critical: not "will it work," but "when it doesn't, will we even know, and can we prove what happened?"

This is why audit trails and verifiable identity matter as much as the automation itself. An agent without accountability isn't a shortcut. It's a liability with good UX.

Trust isn't a feature you add later. It has to be built into how the agent operates from day one.