AI workflow topic
Exceptions, Escalation & Recovery
Plan for unusual cases, degraded operation, emergency escalation and a controlled return to normal.
AI Exception Handling
Learn how AI exception handling workflows manage missing information, low-confidence output, unusual cases, approval uncertainty, failed handoffs, and escalation paths.
Read guide →GuideDegraded Mode Workflows
Learn how degraded mode workflows help AI-assisted processes continue safely when data is missing, systems are unavailable, queues are overloaded, or normal operations cannot continue cleanly.
Read guide →GuideEmergency Escalation Workflows
Learn how emergency escalation workflows help AI-assisted processes route urgent or abnormal conditions to responsible humans, responders, or fallback paths without replacing qualified judgment.
Read guide →GuideEscalation Paths in AI Workflows
Learn how escalation paths in AI workflows route uncertain, sensitive, high-impact, missing-information, approval-bound, or exception cases to responsible humans.
Read guide →GuideReturn-to-Normal Workflows
Learn how return-to-normal workflows help AI-assisted processes recover after exceptions, degraded mode, emergency escalation, failed handoffs, or temporary controls.
Read guide →Keep the workflow visible
AI can support a step without owning the process. Define the trigger, inputs, allowed AI role, human review, exception route, responsible owner and record of what happened.
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