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Industry solutions

Insurance & InsurTech

Insurers depend on fast, fair decisions at claim time and accurate risk selection at underwriting. Both are slowed by unstructured documents, manual triage and legacy policy systems.

Challenges we hear most often

  1. 01

    Claims slowed by document collection and manual assessment

  2. 02

    Underwriters re-keying data from broker submissions

  3. 03

    Fraud detected late or not at all

Practical use cases

Where AI, automation, data and software make a difference

AI

Claims intake agents

Gather documents, check cover, summarise the claim and recommend next steps for assessors.

Automation

Submission processing

Extract risk data from broker submissions and pre-fill underwriting workbenches.

Data

Fraud analytics

Network and anomaly analysis that flags suspicious claims for investigation.

Software

Digital policy servicing

Self-service changes, renewals and documents for customers and brokers.

Business outcomes we aim for

Outcomes

  • Shorter claim cycle times

  • Higher underwriter capacity

  • Earlier fraud detection

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Working in insurance?

Tell us which challenge matters most right now. We will share how we would approach it.