Is this control mapper legal advice?

No. It creates an operational first-pass map for insurance risk, compliance, underwriting, security, and legal teams to review. It does not issue approvals or certifications.

Does the tool send workflow details to a server?

No. The control map is generated in the browser. Basic product analytics may record that the tool was viewed or run, but the selected workflow details are not needed to use the output.

Which insurance AI workflows should teams map first?

Start with workflows that influence underwriting triage, risk scoring, pricing support, claims review, fraud routing, broker submission intake, or document classification.

Free insurance AI governance mapper

Map an insurance AI workflow to controls your team can actually operate.

Use this browser-only tool to turn an underwriting, pricing, claims, fraud, or intake AI use case into a first-pass control map with owners, evidence fields, review gates, and escalation paths.

Generate control map Run risk checker Build vendor questionnaire Request checklist

Human oversight Evidence logs Change control Appeal path

Insurance AI control mapper

Select a workflow and mark the controls you can prove today. The output is a working draft for risk, compliance, legal, security, and underwriting review.

Workflow Team type Market lens AI role

The workflow has a named business owner, risk owner, and system owner. A human can approve, override, pause, or reject the AI-assisted step. The team records input source, model output, reviewer, timestamp, and final decision. Data sources, sensitive fields, retention, and access permissions are documented. Outcomes, overrides, exceptions, and appeal patterns are reviewed by segment. Model, vendor, prompt, threshold, and policy changes require approval before rollout. Affected customers have a documented notice, correction, appeal, or manual review path when needed. Vendor and third-party model inputs are recorded with ownership and due diligence notes. The team has stop rules and escalation steps for suspected bias, data leakage, drift, or harmful output.

Control map

Run the mapper to create a practical first-pass governance map for the selected insurance AI workflow.

Control owner map

Assigns business, risk, model, data, and review ownership so AI workflows do not live as undocumented side processes.

Evidence pack

Lists the decision logs, source summaries, change records, overrides, and exception metrics a team should preserve for review.

Review path

Turns AI use into a pilotable workflow with human oversight, escalation rules, monitoring cadence, and checklist-driven rollout gates.

Source context used for the control themes

This tool translates common governance themes into an operating checklist. It is not a legal opinion and does not replace jurisdiction-specific compliance review.

Important note

This mapper is not legal advice and does not issue approvals or certifications. It creates a structured starting point for insurance teams to review with internal risk, legal, compliance, security, and underwriting owners.