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Industry

Insurance

Insurers are under pressure to price risk more precisely, settle claims faster and detect organised fraud — while protecting large volumes of sensitive policyholder data shared across a wide partner ecosystem.

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Challenges

What insurance teams are solving

Industry challenges

  • Manual underwriting of unstructured submissions
  • Claims settlement speed and customer experience
  • Organised and opportunistic claims fraud
  • Legacy policy administration systems

Security challenges

  • Sensitive health and financial data across brokers, TPAs and partners
  • Partner and aggregator API exposure
  • Ransomware risk to core operations
  • Sector cybersecurity and data-protection regulation

Technology challenges

  • Extracting structured data from documents and emails
  • Integrating external data into underwriting and pricing
  • Explainable fraud and risk models
  • Modernising without disrupting policy servicing

Capabilities

How we help

  • 01

    Underwriting intelligence

    Submission ingestion, enrichment and decision support.

  • 02

    Claims automation

    Digital intake, triage and straight-through settlement.

  • 03

    Fraud analytics

    Claims scoring, document forensics and network analysis.

  • 04

    Insurance security

    Data protection, partner security and channel testing.

Services

Insurance services

Insurance Underwriting

Decision support for underwriters that consolidates submission data, risk signals and guidelines into one consistent view.

Automated Underwriting

Straight-through underwriting for standardised products using codified rules, data enrichment and governed models.

Claims Automation

Automate claims intake, triage and straight-through settlement of simple claims while routing complex ones to adjusters.

Insurance Fraud Detection

Detect suspicious claims, application misrepresentation and organised fraud networks with explainable analytics.

Risk Assessment

Quantitative risk assessment and pricing analytics combining internal experience with external data.

InsurTech Security

Security programmes for insurers and insurtechs protecting policyholder data, digital channels and partner ecosystems.

Use cases

Where we typically start

  • Commercial submission triage

    Automated extraction and appetite checks on broker submissions.

  • Health claims anomaly detection

    Provider billing analysis for insurers and TPAs.

  • Motor claims fraud networks

    Linking claimants, repairers and vehicles to expose rings.

  • Retail straight-through underwriting

    Instant decisions for standardised products.

Reference architecture
  1. Broker, partner & customer channels
  2. Document AI & data enrichment
  3. Underwriting & claims decision engines
  4. Fraud analytics
  5. Underwriter & adjuster workbench
  6. Audit & reporting

Solutions

Relevant solutions

Fraud Detection Platform

Layered fraud detection for lending origination and insurance claims, combining rules, models, document forensics and network analysis.

AI Underwriting Platform

An explainable credit and fraud decisioning platform for banks and NBFCs, with human review and a complete audit trail.

FAQ

Frequently asked questions

Do you support life, health and general insurance?

Yes. Core capabilities apply across lines, with data, rules and models tailored to each line of business.

Talk to our insurance team

Let’s discuss it. Tell us what you are working on and an engineer — not a sales script — will respond.

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