AI agents are moving from demonstrations into operational workflows. The shift creates value, but also new failure modes involving permissions, data quality, unintended actions, and unclear ownership.
A sound deployment defines scope, approval thresholds, logs, rollback procedures, and a human accountable for the result. Autonomy should expand only as evidence earns trust.


