01
Risk Is Discovered After The Fact
Transcripts and logs often surface problems only after a customer heard the wrong thing or a staff member manually reconstructed the event.
The control gap
AI agents move fast. Regulated workflows still need custody.
Once AI starts speaking to customers, quoting policies, or triggering downstream tasks, generic observability is not enough. Teams need intervention points they can trust.
02
Approvals Live Outside The Workflow
Human review happens in Slack, email, or ticket notes, separated from the AI output and the policy that required escalation.
03
Policies Are Not Measurable
Teams write guardrails, but struggle to prove which ones triggered, who approved the exception, and whether outcomes improved.