A transit agency is piloting an autonomous agent that suggests service reroutes but must not post to public channels unchecked. What should the workflow include?

A transit agency piloting an autonomous agent that suggests service reroutes but must not post to public channels unchecked should keep autonomy on suggestion generation while placing safeguards before public-channel posting. Autonomous ideation can speed operations planning; civic publication still needs review gates, policy checks, and audit logging so riders are not misled by unverified model output. That split matches semiautonomous control for high-visibility channels. Autonomous reroute-suggestion generation with red-teaming before public-channel posting still lets unverified suggestions reach riders because red-teaming probes for weaknesses during testing but adds no review, approval, or policy check before each post, so it fails the pre-post safeguard requirement. Autonomous reroute-suggestion generation with audit-logging before public-channel posting records actions for traceability but still allows unverified suggestions to reach public channels without blocking them until a safeguard clears. Autonomous reroute-suggestion generation with grounding checks before public-channel posting only improves factual alignment to source data; it does not prevent unreviewed suggestions from being posted to public channels in the first place. On the exam, autonomous suggestion plus safeguards before public posts is correct; distractors red-teaming before posting, audit-logging before posting, or grounding checks before posting. Caveat: define what "safeguard" means operationally (human approve, dual control, allowlisted channels)—vague guardrails invite bypass under incident pressure. Operational check: generate a reroute suggestion, verify it cannot post publicly until the safeguard clears, confirm audit logs capture suggestion and approval before posting, and ensure the agent cannot treat logging as a substitute for the pre-post safeguard.