TRACEGov
Insurance

AI Transparency for Claims, Underwriting, and Beyond

Insurance AI decides who gets covered, how much they pay, and whether their claim is approved. Solvency II and the EU AI Act both demand explainability — but from different angles. We unify them in one workspace so your claims AI, underwriting models, and pricing algorithms are transparent to regulators and customers alike.

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Before
Opaque claims AI decisions
Policyholders receive claim denials with no meaningful explanation. Customer complaints escalate, and your team can't articulate why the model decided what it did.
Separate Solvency II and AI Act processes
ORSA risk assessments live with actuaries. AI Act compliance lives with legal. Neither team connects their work to the same underlying AI models.
Customer complaints about AI decisions
When a pricing algorithm or claims model produces an unfavorable outcome, there's no transparency trail. Complaints become regulatory escalations.
Manual underwriting model audits
Model governance is a quarterly exercise. Actuaries spend weeks compiling documentation that's outdated before the audit even begins.
After
Explainable claims AI with TRACE scores
Every claims decision scored across 5 dimensions. When a policyholder asks why, you have a clear, auditable answer — not a black box.
Unified Solvency II + AI Act dashboard
Both frameworks active in one workspace. ORSA risk requirements and AI Act obligations mapped to the same AI systems — one source of truth.
Customer-facing transparency reports
Generate plain-language explainability reports from the same TRACE scores your supervisors see. Transparency that builds trust, not just compliance.
Automated underwriting model governance
Continuous TRACE scoring replaces quarterly audits. Model governance happens in real time, and documentation builds itself.
ExplainabilityOpaque → TRACE-scored

Your Workflow, Step by Step

Here's how you make insurance AI explainable for regulators and customers

01

Map Insurance AI Portfolio

Register every AI system in your portfolio — claims processing, underwriting models, pricing algorithms, fraud detection — with their Solvency II classification and EU AI Act risk tier.

02

Score Claims & Underwriting Models

Each insurance AI system gets a 5-dimension TRACE score. Explainability, fairness, and transparency scored against both Solvency II expectations and EU AI Act obligations.

03

Generate Explainability Reports

Customer-facing and supervisor-facing transparency reports generated from the same TRACE scores. Show policyholders why a claim was decided, show EIOPA how you govern the model.

04

Satisfy EIOPA Supervisory Reviews

One-click supervisory report: TRACE scores per AI system, explainability evidence, model governance documentation, and Solvency II ORSA alignment. Ready before the review begins.

Related Use Case

Insurance AI Explainability

See the full workflow: from AI portfolio mapping to EIOPA-ready supervisory reports with customer-facing transparency.

Opaque → TRACE-scored
Explainability

136days until enforcement

Make Your Insurance AI Explainable

Govern claims, underwriting, and pricing AI against Solvency II and the EU AI Act. Transparency that satisfies EIOPA and builds customer trust.

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