Free insurance AI evidence scanner

Find the missing proof before AI reaches insurance decisions.

Q: What is insurance AI evidence?

Insurance AI evidence is the operating proof that shows who owns a workflow, what data and model output were used, who reviewed the result, what decision was made, which exceptions occurred, and how changes or disputes are handled.

Q: Which evidence gaps should teams fix first?

Teams should fix gaps closest to customer-impacting decisions first: human review, override reasons, source data summary, model or prompt version, final action, exception routing, appeal handling, and change notices.

Q: Does this scanner provide regulatory approval?

No. The scanner creates an operational gap report for discussion with risk, compliance, underwriting, claims, legal, security, and procurement owners. It is not legal advice or regulatory approval.

The evidence gap scanner helps underwriting, claims, fraud, pricing, and intake teams check whether an AI workflow has the owner records, review gates, decision trail, change proof, and escalation path a risk team can inspect.

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Insurance AI evidence gap scanner

Select one workflow, mark the evidence you already have, and generate a first-pass gap report. Do not paste confidential policyholder, claim, broker, or vendor data.

Workflow AI influence level

Named business owner and approved use limit Source systems, sensitive fields, and retention notes Human reviewer, sign-off rule, and override permission Input summary, AI output, reviewer, final action, and timestamp Override reason codes and exception notes Model, prompt, threshold, vendor, and policy change log Drift, appeal, complaint, and outcome review cadence Incident owner, stop rule, customer notice path, and escalation timing Vendor evidence export, change notices, support commitments, and data-use limits

Choose the evidence already available and generate a prioritized gap report.

What insurance AI evidence should teams preserve?

Insurance AI evidence should show the approved use case, workflow owner, source data summary, model or prompt version, AI output, human reviewer, final action, override reason, exception notes, change history, monitoring cadence, and escalation path. The goal is not paperwork volume; it is a reviewable trail for decisions that affect underwriting, pricing, claims, fraud, or intake operations.

Evidence gaps that create operating risk

Decision trace gaps

A team cannot review a disputed recommendation if it only stores the final action. Preserve the source summary, output, reviewer, timestamp, and override reason together.

Change-control gaps

If a model, prompt, threshold, vendor feed, or policy rule changes without approval, reviewers cannot tell whether a later decision used the same operating conditions.

Escalation gaps

AI incidents need a stop rule, owner, customer or broker notice path, and review cadence. Waiting until a complaint arrives leaves too much interpretation.

How to use the gap report

1. Pick one workflow

Start with the workflow closest to a decision: underwriting triage, pricing support, claim review, fraud routing, broker intake, or document classification.

2. Fix the first missing proof

Prioritize evidence that lets a reviewer reconstruct the decision path without needing the original operator in the room.

3. Convert gaps into controls

Use the control mapper to assign owners, fields, reviews, monitoring, notices, appeal steps, and incident escalation rules.

Frequently asked questions

What is insurance AI evidence?

It is the operating proof that shows who owns the workflow, what data was used, what the AI returned, who reviewed the result, what action followed, and how exceptions or changes are handled.

Which evidence gaps should teams fix first?

Fix the gaps nearest to customer-impacting decisions first: reviewer, override reason, input source, model or prompt version, final action, escalation, appeal handling, and change notice.

Does this scanner provide regulatory approval?

No. It creates an operational gap report for risk, compliance, underwriting, claims, legal, security, and procurement teams to review. It does not provide legal advice or regulatory approval.