Insurance

Faster claims, cleaner data and AI that reads documents so people do not have to

Solutions › By Industry › Insurance

Insurance runs on documents and data: policies, claims, medical reports, valuations, correspondence. Much of the cost is people reading, keying and reconciling. Insurers and title companies that automate this well settle faster, detect fraud earlier and free experts for the cases that need judgement.

We have delivered data quality platforms and reporting for a large US title insurance and settlement services group, and document extraction pipelines for financial services. We bring that experience to claims, underwriting and operations teams.

Challenges we see

  • Claims and underwriting slowed by manual document handling
  • Data quality issues surfacing late in reporting
  • Legacy policy administration systems that are hard to change
  • Fraud patterns hidden across disconnected data
  • Regulatory reporting that takes weeks each quarter

Technologies we use

  • Databricks
  • Snowflake
  • DQX
  • Azure
  • AWS
  • LangGraph
  • Power BI
  • DOMO

What we offer insurance companies

Claims document intelligence

AI that extracts and validates data from claims, reports and correspondence with human review.

Data quality and DataOps

Automated checks and dashboards so issues are caught at source.

Legacy modernization

Migration off ageing policy and reporting systems in phases.

Risk and fraud analytics

Models that flag anomalies for investigators.

Regulatory reporting

Governed, repeatable reporting with lineage.

Common questions

Can AI handle handwritten or scanned documents?

Yes, with OCR and validation. Low-confidence extractions are routed to a person.

How do you prove the numbers are right?

Reconciliation and data quality checks at every stage, with dashboards your auditors can see.

Do you understand insurance regulation?

We build for auditability and work with your compliance team on the specifics of your jurisdiction.

Working in insurance?

Tell us your biggest data or hiring problem and we will say how we would approach it.