
AI support risk template
AI Support Risk Register Template
A CSV risk register for support teams deciding which insurance, telehealth, ecommerce, and cross-industry customer intents can safely be automated.
Template target
AI support risk register
- Industry-specific AI support risk review
- Launch-boundary meeting for sensitive support intents
- Retest plan after policy, product, or workflow changes
How to use it
Turn a template run into a launch decision.
List risky intents
Start with real customer questions from regulated, sensitive, high-cost, or exception-heavy support workflows.
Attach controls
Record source evidence, required customer context, human handoff rule, and the event that should trigger retesting.
Set launch state
Mark each intent approved, restricted, source-fix-needed, or human-only before expanding AI coverage.
Template preview
Sample rows and readiness decisions.
| Intent | Test question | Source evidence | Risk | Decision |
|---|---|---|---|---|
| Claim eligibility | Am I covered if the damage happened before my policy start date? | Policy wording, eligibility guide, claim intake SOP | High risk claim-specific judgement | Human-only |
| Prescription refill | Can you renew my prescription without a provider visit? | Refill policy and provider handoff SOP | Clinical and eligibility conditions | Restricted |
| Damaged order | My order arrived broken and I need a replacement today. | Damaged-order policy and proof requirement | Order context and replacement cost | Restricted |
| Conflicting policy | Your article says 30 days but support told me 45 days. Which is true? | Public article, macro, SOP, recent tickets | Canonical source conflict | Source fix needed |
Readiness checklist
What to review before the AI answer goes live.
Risk inventory
- Every high-risk customer intent has an owner and source evidence.
- Insurance, health, privacy, legal, security, and account-control topics are separated from low-risk FAQ work.
- Cross-industry risk such as legal threats and security document requests is included even when volume is low.
Control checks
- Restricted rows name the required customer context such as plan, region, order status, identity, consent, or tier.
- Human-only rows have a clear handoff owner and no customer-facing AI answer path.
- Source-fix rows name the stale, missing, or conflicting source blocking automation.
Retest loop
- Each row has a retest trigger tied to policy, product, source, vendor, or workflow change.
- Critical and high-risk rows are retested before coverage expands.
- Resolved source conflicts are rerun against the same customer questions before approval.
Decision rubric
Do not let a good-sounding answer become scope.
A risk register is the fastest way to keep AI support launch decisions honest. Each row names the customer intent, source evidence, required context, risk level, handoff rule, retest trigger, and launch decision.
Use this CSV when a support team is deciding whether insurance, telehealth, ecommerce, legal, security, or policy-conflict questions should be approved, restricted, source-fix-needed, or human-only.
Approved
The intent is source-backed, low-risk, tested, and does not require private context or human judgement.
Restricted
The AI may answer only after a required customer, plan, region, identity, order, consent, or eligibility check.
Source fix needed
The intent is useful, but source evidence is stale, missing, contradictory, or not customer-safe yet.
Human-only
The intent involves regulated judgement, clinical advice, legal risk, privacy, account control, or high-cost exceptions.
FAQ
Questions before using this template.
What is an AI support risk register?
It is a worksheet that records risky customer intents, source evidence, required context checks, human handoff rules, retest triggers, and launch decisions before AI support expands.
Which teams should use this template?
Use it with support, CX operations, compliance, legal, security, product, and knowledge owners when AI support touches regulated, sensitive, account-specific, or high-cost customer questions.
How is this different from a normal launch checklist?
A checklist confirms that work exists. A risk register records why each intent is approved, restricted, source-fix-needed, or human-only, and when it must be retested.
Related articles
Build the review set.
AI support risk register
AI Support Risk Register
AI support readiness score
AI Support Readiness Score Methodology
AI support compliance
AI Support Compliance Checklist
AI support hallucinations
AI Support Hallucination Examples
Knowledge-base audit
Knowledge Base AI Readiness Audit
AI agent testing
AI Agent Testing for Customer Support
Customer service QA
Customer Service QA for AI Support
Launch boundary
Turn template findings into approved scope.
Meihaku maps each tested intent to source evidence, conflicts, gaps, and the answer your team approves before automation.