Industry

AI Document Intelligence for Insurance

Claims, underwriting and policy servicing depend on documents that arrive unstructured. PrismIQ turns them into validated data your core systems can act on.

Challenges

What slows document work down in insurance

Bundled submissions

Claims arrive as mixed PDFs containing forms, IDs, invoices, reports and photographs in no fixed order.

Handwriting

Claim forms and medical notes are frequently handwritten, in more than one language.

Turnaround promises

Service commitments are made to customers but delivered by manual queues.

Leakage and duplication

Duplicate invoices and inconsistent claim details are found after payment rather than before.

Documents

Document types processed

Claim notification and claim formsMedical reports, prescriptions and discharge summariesHospital and garage invoices, repair estimatesPolice and incident reportsIdentity documents and driving licencesPolicy schedules, endorsements and proposal formsDamage photographs

Integration

Systems PrismIQ connects to

Core insurance platformsClaims management systemsDocument managementREST APIEmail / SFTPRPA platforms

AI agents

Agents configured for this sector

Claims Intelligence Agent

Splits and classifies the claim bundle, extracts each document type, cross-checks details and validates against coverage.

Underwriting File Agent

Structures proposal forms and supporting evidence into underwriting-ready data with completeness checks.

Policy Servicing Agent

Handles endorsement requests, bank detail changes and supporting documents with verification built in.

Workflow

A typical processing flow

  1. 1Intake from email, branch, portal or API
  2. 2Bundle splitting and document classification
  3. 3Extraction per document type, including handwriting
  4. 4Cross-document consistency checks
  5. 5Validation against policy coverage and limits
  6. 6Straight-through, adjuster review or investigation routing
  7. 7Structured data into the claims or policy system

Compliance & security

Controls and deployment

  • Audit trail linking every extracted value to its source region
  • Role-based access to medical and personal data
  • Configurable retention aligned to insurance record-keeping obligations
  • Deployment options that keep policyholder data in-country
  • Human review enforced for defined document classes or confidence thresholds

Use cases

Where organisations start

Motor claims intake

Estimates, invoices, police reports and licences processed as one consignment with cross-checks.

Health claims adjudication support

Medical documents and hospital bills structured line by line against policy limits.

Bulk reimbursement processing

High-volume small claims batched, validated and routed with exceptions isolated.

Policy document digitisation

Historical policy files converted into searchable, structured records.

Outcomes

What changes for the business

Faster claim intake

Claim data is structured on arrival instead of waiting in a keying queue.

Consistent validation

Coverage, limit and duplicate checks run on every claim.

Earlier risk signals

Contradictions across documents surface before authorisation.

Adjuster focus

Specialist time goes to assessment rather than transcription.

Outcomes describe the design intent of the platform. Actual results depend on document complexity, workflow design, integration requirements and deployment environment.

Frequently asked questions

Discuss document intelligence for insurance

Book an enterprise demo and we will walk through your document types, validation rules and integration architecture.