AI for UAE Insurers & TPAs
Classify claims, route documents, and surface answers from policy wording — without the manual sorting that slows every claim down.
- Auto-classify and route incoming claims and correspondence at 95% accuracy
- Cut manual document sorting by 10x and assign cases 3x faster
- RAG over policy wordings and regulations with cited answers
- On-premise deployment keeps policyholder data inside your network
- Aligned with CBUAE insurance supervision and UAE PDPL
How We Help
Claims Triage & Routing
- Classifies incoming claims and documents by type and urgency
- Routes each case to the right handler automatically
- Confidence scoring with human review for edge cases
- Integrates with your claims and policy-admin systems
Policy & Document Q&A
- RAG over policy wordings, endorsements, and regulations
- Handlers get cited answers instead of reading full policies
- Works with PDF, scanned documents, and legacy exports
- Runs on-premise — no policyholder data leaves your network
Document Data Extraction
- Extracts structured fields from forms, invoices, and reports
- Validates against policy and regulatory rules
- Flags missing or inconsistent information before processing
- Feeds clean data straight into your core systems
Results
document classification accuracy (my legal/insurance deployment)
reduction in manual document sorting time
faster case assignment
The Monday after go-live
It's Monday and the weekend's backlog has already sorted itself. Every claim and document that came in is classified, scored, and routed to the right handler — the straightforward ones queued for fast-track, the complex ones flagged with the policy clause that matters. A handler opens a disputed claim and asks the assistant what the wording says about it; the answer comes back cited to the exact endorsement. The pile of unsorted correspondence that used to define Monday mornings is simply gone.
Integrations
Regulatory Awareness
Intelligent Document Routing
Manual document sorting created bottlenecks in case resolution, with junior staff spending hours on classification tasks.
Deliverables
- BERT-based intent classification system
- Automated routing to appropriate case handlers
- Confidence scoring with human review escalation
- Integration with existing document management system
Results
- 95% classification accuracy
- 10x reduction in manual sorting time
- 3x faster case assignment