When an AI agent touches patient data, every decision needs a receipt.
"An AI agent gave unauthorized clinical guidance
and misrouted a patient."
There is no audit trail. The hospital faces liability. Nobody can prove what the agent said or why it said it. In healthcare, that gap becomes legal risk immediately.
GUS enforces clinical protocol boundaries so AI stays inside authorized workflows and never crosses into diagnosis without approval.
No diagnosis without approval gate. Scope controls by role, workflow, and care pathway. Clinical governance encoded and enforced.
GUS monitors patient-facing language in real time and flags drift when responses approach unauthorized medical advice.
Detects risky phrasing before harm. Escalates to human review when clinical boundaries are approached.
Every patient interaction is receipted with policy state, timestamp, and output evidence so decisions are provable in court.
Immutable interaction history. Litigation-ready evidence. Regulator-ready chain of custody.
HIPAA compliance teams spend months on manual audits. GUS makes the audit automatic and continuous.
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