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Support claims, underwriting, document intake, fraud signals, and customer communication.
Support claims, underwriting, document intake, fraud signals, and customer communication.
Insurance work depends on detailed information, fair decisions, and clear service. We help insurers use AI to reduce manual effort while improving visibility across claims and risk processes.
Extract key details from forms, emails, and supporting documents
Send work to the right team based on urgency and complexity
Highlight unusual patterns for expert review
Summarise risk information and prepare review packs
USE CASE | WHAT IT HELPS WITH | SIMPLE BUSINESS VALUE |
|---|---|---|
Claims intake | Extract key details from forms, emails, and supporting documents | Faster case setup and less manual entry |
Case routing | Send work to the right team based on urgency and complexity | Quicker handling and improved consistency |
Fraud indicators | Highlight unusual patterns for expert review | Stronger focus on cases needing attention |
Underwriting support | Summarise risk information and prepare review packs | Clearer decisions and faster turnaround |
An insurer handling a high volume of incoming claims was facing a familiar set of pressures: slow case setup driven by manual data extraction, inconsistent routing of claims to appropriate handlers, and fraud signals buried in document volume. Claims handlers were spending up to 30% of their time on low-value administrative tasks rather than assessment and resolution.
The organisation deployed AI to read incoming claim documents, extract structured data from unstructured forms and emails, route cases by complexity and urgency, and flag unusual patterns for specialist review. Claims handlers received pre-populated case packs rather than raw document bundles.
Claims processing time reduced by up to 70%, with some routine cases moving from multi-week cycles to near-instant straight-through processing. The AI claims processing market, growing from $514 million in 2024 to $2.76 billion by 2034, reflects adoption pace across the sector. Operational cost reductions of 30–50% are now routinely reported by insurers implementing comprehensive AI transformation, with fraud detection speeds improving by 50% and fraudulent claim payouts reducing by up to 40%.
A single metric illustrates the potential clearly: £21 reduction in cost per claim achieved in documented implementations, combined with a 65% reduction in total operational costs for insurers implementing end-to-end workflow automation alongside AI.