AI with explicit limits

Automation prepares the context. Professionals retain judgement.

Every material output remains linked to sources, may be incomplete and requires authorised review before any decision.

Structured policy summary with synthetic data
Policy Intelligence
3notice input sources
0automated coverage decisions
1verifiable source

AI with explicit limits

Assistance throughout the review cycle.

Notice

Extraction from document, description or customer-confirmed voice input.

Policy

Insured, coverage, values, deductibles, limits and material conditions.

Photographs

Quality, consistency, possible fraud indicators and visual damage extent.

Estimate

Assistive proposal, document comparison and adjuster consultation when needed.

Policy Intelligence

The policy is summarised without inventing missing values.

The result separates identity, validity, coverage, sums insured, deductibles and material conditions.

  • Human confirmation before operational use
  • Missing fields explicitly declared
  • Source document always available
Policy summary table
Structured policy detail

Photographs

Quality and anomalies become signals to verify.

Checks help identify insufficient images, inconsistencies and possible anomalies without deciding coverage or liability.

  • Immediate feedback during collection
  • Photo Fraud as an advisory capability
  • Visual assessment with confidence and source
Smartphone review of the photo package
Checks before submission

Estimate and feedback

A clear outcome distinguishes automation from adjuster consultation.

When context does not support a reliable proposal, the product makes the need for professional consultation explicit.

  • Clear outcome hierarchy
  • Adjuster feedback retained
  • No provider training on customer data
Mobile result requesting adjuster consultation
Estimate outcome

Responsible AI

Evaluate outputs on your real use case.

The demo shows sources, limits and human control points.

Request a demo