Key takeaways
- Define incident classes, severity, owners, stop controls, evidence, communication, and recovery before production traffic starts.
- Preserve enough trace evidence to reconstruct the call without making sensitive recordings universally accessible.
- Containment may mean disabling a tool, campaign, language, intent, vendor route, or the whole agent.
- A fix needs regression tests, monitored rollout, correction of affected records, and follow-up for people harmed or inconvenienced.
01
Decide what counts as an incident
Not every awkward pause is an emergency, and not every completed call is healthy. Define classes such as unauthorized dialing, failed disclosure or opt-out, sensitive-data exposure, wrong financial or booking action, unsafe guidance, repeated harassment, discriminatory performance, widespread misunderstanding, tool duplication, human-handoff failure, and vendor or telephony outage.
Give each class a severity based on impact, scope, reversibility, regulatory or contractual duty, and whether the problem is still active. Name the incident commander, technical owner, operational owner, privacy or legal contact, vendor contact, and the person authorized to stop traffic.
02
Contain the smallest boundary that actually stops harm
Feature flags should allow the team to disable a write tool, outbound campaign, language, intent, model version, or vendor path without waiting for a full deployment. A global kill switch remains necessary for broad or uncertain failures. Test these controls during normal operation.
Swipe to compare every column
| Incident | Immediate containment | Evidence to secure |
|---|---|---|
| Wrong tool action | Disable the tool or action class | Trace, parameters, confirmation and source-system state |
| Consent or opt-out failure | Stop affected outbound campaigns | Consent record, script, suppression checks and dial log |
| Sensitive-data exposure | Restrict access and stop the data path | Access logs, destinations, copies and affected calls |
| Recognition regression | Roll back model or route to humans | Audio conditions, transcript, subgroup and task results |
03
Preserve a trace without spreading the call
Keep call and turn IDs, component versions, timing, transcript where permitted, prompt and policy version, tool requests and responses, consent and authentication state, routing, handoff, and final outcome. Restrict audio and sensitive text to the responders who need them; use redacted traces for broader debugging.
Vendor status pages and aggregate metrics are supporting evidence, not a reconstruction. The organization needs to know which callers and records were affected so it can correct outcomes and communicate responsibly.
04
Recovery includes the customer and the evaluation set
Repair duplicate bookings, wrong CRM fields, suppression failures, unfinished callbacks, and misleading confirmations. Contact affected people when policy, law, contract, or ordinary fairness requires it. Do not declare recovery because the error rate returned to normal while customer records remain wrong.
Turn the incident into regression cases, test the fix against adjacent workflows, roll out gradually, and monitor the specific failure signal. NIST’s AI RMF organizes risk work around govern, map, measure, and manage; the runbook is where those verbs become shifts, tools, decisions, and accountability.
Primary sources and further reading
Use the source material to validate details against your own context and current platform configuration.
- NIST AI Risk Management Framework
- NIST AI RMF Core
- NIST Generative AI Profile
- VAmoS Bench: Voice Agent Simulation Bench
This field note follows the XenGrowth editorial policy: primary sources where available, visible limitations, material review dates, and no invented first-hand experience.
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