An operational disruption is a temporary interruption, slowdown, or added workload caused by system behavior. In AI products, an error may require manual intervention, delay workflows, increase pressure on staff, or frustrate customers. section 12.3.2
Manage disruption by pairing candid risk communication with practical recovery measures:
- Explain how errors can affect workflow speed, staffing, and customer response times. section 12.3.2
- Provide escalation pathways so unresolved cases reach live agents instead of blocking service. section 12.3.2
- Use real-time updates or status information to help teams adjust operations quickly. section 12.3.2
Peak-demand chatbot failure
When a customer-service chatbot fails during peak demand, live-agent workload rises and response times slow. An escalation path limits the disruption by transferring cases the AI cannot resolve. section 12.3.2
