Template preview (excerpt)
3) Monitoring, functioning, control
- Known failure modes (document quality, language, edge-case claim types)
- Human oversight triggers (high payout, safety issues, vulnerable customers)
4) Performance metrics
- Triage accuracy/precision/recall (by claim type)
- False positives vs false negatives (cost model)
View the worked example
Always-review:
- Any claim flagged “potential fraud” with confidence > 0.8
- Any claim with projected payout > €10k
- Any claim containing safety-critical elements (injury, property hazard)
Before you begin
For compliance, risk, product, and ML ops teams shipping agentic Processes into regulated environments.
A system-type Annex IV template for insurance claims triage: triage/routing, fraud suspicion, severity scoring, and the evidence you need to defend decisions.
It emphasizes reviewer UX and traceability: what humans see, what they can do, and what is recorded automatically.
When to use this resource
- Your system routes or prioritizes claims, flags suspicious activity, or influences payout decisions.
- You need to defend triage and fraud flagging accuracy with exportable evidence.
- You are operationalizing monitoring, escalation, and incident response for production use.
Information to gather
- Claim triage Process description and tool permissions.
- Data sources (forms, notes, attachments) and redaction rules.
- Metrics + thresholds (accuracy by claim type, customer impact).
- Oversight SOP + monitoring plan references.
Review checklist
Use these checks in the review with your system owner. Confirm the applicable requirements and attach evidence for the decisions your team makes.
- Claim types, routing outcomes, and advisory vs automatic behavior are explicit.
- Data handling covers attachments and sensitive content (redaction and access control).
- Human oversight covers high payout, vulnerable customer, or safety-related triggers.
- Monitoring includes false positive/negative costs and customer impact metrics (delays, complaint rate).
- Exports tie claim decisions to trace IDs, policy versions, and reviewer actions.
Operating controls and evidence
- Govern
Policy-as-code checkpoints that block or require review for high-risk actions.
Versioned change control for model/prompt/policy/Process updates.
- Assure
Risk-tiered sampling reviews (baseline + burst during incidents or after changes).
Near-miss tracking (blocked / nearly blocked steps) as a measurable control signal.
- Prove
Configurable retention schedules, integrity verification, and an append-only Audit Trail.
Evidence Room export bundles (manifest + checksums) so auditors can verify independently.
Questions about this resource
Do claims triage systems need human review?
Many teams require review for high-impact cases (high payout, fraud flags, safety issues) and use sampling for medium-risk routing decisions.
What evidence matters most for claims triage?
Review queue actions, accuracy by claim type, false positive/negative cost reasoning, and logs that tie decisions to versions and policies.
How do we handle sensitive claim attachments?
Define redaction and access controls, and avoid exporting sensitive raw documents when hashed references or redacted snapshots suffice.
How should we monitor customer impact?
Track delays, complaint rates, escalations, and outcomes for sampled reviews. Retain that evidence.
What do auditors reject?
Unclear boundaries (what is advisory vs automatic), and documentation with no traceable link to actual runtime evidence.
How often should the documentation be refreshed?
On releases, model/policy updates, and after incidents or significant monitoring findings.
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