Insurance Claims Evidence Verification¶

Pattern type: Reference architecture Maturity: Stable primitives Boundary: Not a turnkey product or compliance certification

Quick Facts

Industry	Insurance / Claims Management
Complexity	Medium-High
Key Packages	SdJwt.Net.Vc, SdJwt.Net.StatusList, SdJwt.Net.PresentationExchange, SdJwt.Net.Oid4Vp, SdJwt.Net.OidFederation

30-second pitch¶

Claims automation fails when evidence is untrusted. Verify the evidence before AI or rules engines act. This pattern shows how claimants can present verifiable evidence credentials so that claims systems can trust the inputs before processing.

Problem¶

Insurance claims processing relies on evidence from multiple parties, and the evidence itself is difficult to verify:

• Document authenticity: Repair quotes, medical certificates, police reports, and property valuations arrive as PDFs, scans, or emails. Are they genuine?
• Stale evidence: A policy may have lapsed between the event and the claim. Employment status may have changed. Evidence validity is point-in-time.
• Fraud vectors: Inflated repair quotes, fabricated medical certificates, staged events, and duplicate claims across insurers.
• Automation blockers: AI and rules engines can process claims faster, but only if the inputs are trustworthy. Unverified evidence requires human review, negating automation gains.
• Multi-party coordination: A single claim may involve the insured, a repairer, a medical provider, an employer, and a government agency. Each provides separate evidence with no common verification standard.

Common failure modes¶

Reference pattern¶

Evidence providers (repairers, medical providers, employers, government agencies) issue verifiable credentials for the facts they attest to. Claimants present these credentials to the insurer as part of the claim submission. The claims system verifies issuer trust, credential status, and claim values before routing to automation or human review.

Evidence credential types¶

Flow¶

sequenceDiagram
    autonumber
    participant Claimant as Claimant
    participant Wallet as Claimant Wallet
    participant Claims as Claims System
    participant Verifier as Evidence Verifier
    participant Trust as Trust Framework (Federation)
    participant Status as Status List
    participant Engine as Rules / AI Engine

    Claimant->>Wallet: Collect evidence credentials from providers

    Claimant->>Claims: Submit claim with evidence credentials (OID4VP)
    Claims->>Verifier: Verify evidence presentations

    Verifier->>Trust: Resolve issuer trust (repairer, medical provider, etc.)
    Trust-->>Verifier: Issuer trusted / untrusted

    Verifier->>Status: Check credential status (policy active, cert current)
    Status-->>Verifier: Active / Expired / Revoked

    Verifier->>Verifier: Verify signatures, expiry, required claims
    Verifier-->>Claims: Verification result per evidence item

    Claims->>Engine: Route verified evidence to automation
    Engine-->>Claims: Decision or escalation to human review
    Claims-->>Claimant: Claim outcome

How SD-JWT .NET fits¶

What remains your responsibility¶

• Claims management system and workflow engine
• Evidence provider onboarding and issuer trust policies
• AI / rules engine for claims processing
• Fraud detection and investigation workflows
• Credential schema design for each evidence type
• Legal and regulatory compliance (insurance regulation, privacy)
• Claimant communication and wallet adoption
• Integration with existing policy administration systems
• Human review workflows for escalated or disputed claims

Target outcomes to validate¶

• Higher straight-through processing rate for claims with verified evidence
• Reduced fraud exposure through issuer-verified evidence
• Faster claims cycle time (verified evidence skips manual document review)
• Audit-ready evidence trail for regulatory and reinsurance review
• Lower cost per claim for evidence verification

Try it¶

• Presentation Exchange guide
• OpenID Federation tutorial
• SD-JWT VC package