🛡️ P&C Insurance · Travel Claims STP
Travel Insurance Claims Straight-Through Processing: Auto-Settlement in Hours, Not Days
Straight-Through Processing for Travel Claims — Hours, Not Days
Neural Grid STP resolves multi-format claims (PDFs, images, multi-currency) with >95% confidence auto-settlement — customers never repeat information.
Solution design · numbers modeled on the operation described
A lost suitcase claim costs the same to process manually as a complex medical claim. 80% of our adjusters' time was spent chasing documents, not making decisions. We needed to flip that ratio.
// the problem
High-volume travel claims arrive as emails, PDFs, images, scans, and handwritten forms — each "simple" baggage claim involves 6+ document types in multiple languages and currencies. Legacy rule engines cannot read context or intent — OCR without reasoning creates data garbage, not structured claims. Adjusters spend 80% of their time chasing missing documents instead of making adjudication decisions. Low-severity claims like lost luggage cost the same to process manually as complex medical cases — destroying unit economics at scale. Customers are forced to repeat information they already submitted, eroding trust.
// what CLU does
CLU's Neural Grid decomposes each claim into cognitive tasks (Vision, Logic, Communication) rather than linear process steps — specialized agents handle each dimension simultaneously. The Decision Engine calculates payable amounts, applies deductibles, and prepares payment. If confidence exceeds 95%, claims auto-settle straight-through. Below that threshold, cases route to a Human Adjuster Dashboard with full context. The system processes receipts in EUR/USD/mixed currencies, airline baggage reports, and flight itineraries — all understood contextually, not just OCR'd. Customers never upload the same document twice.
// the agents, in order
- 1Cognitive Intake AgentReceives claim across all formats (PDF, image, email, form) — decomposes into cognitive tasks and routes to specialized agents simultaneously, not sequentially
- 2Vision AgentReads receipts, baggage reports, and flight itineraries in multiple currencies and languages — contextual reasoning, not just OCR
- 3Logic AgentCross-references all evidence against policy conditions, applies deductibles, and calculates payable amount with full audit trail
- 4Completeness AgentIdentifies any missing evidence and requests only what is needed — customer never repeats information already submitted
- 5Decision EngineCalculates confidence score for auto-settlement — above 95% triggers immediate payment, below 95% routes to Human Adjuster Dashboard with complete context
- 6Communication AgentSends real-time status updates with transparent decision explanations — claim experience feels human even when fully orchestrated
// systems it talks to
- Multi-Format Intake (PDF/Image/Email)
- OCR + Contextual Reasoning Engine
- Policy Rules Engine
- Payment Gateway
- Human Adjuster Dashboard
- Customer Comms API
// the economics
Same-day settlement for >95% confidence claims · 80% adjuster time freed from document chasing · Unit economics restored at scale
// CLU · the agent factory
Is your operation like this one?
Describe it in your own words on the home page. CLU draws your process as an operation map, with the agents, the systems and an estimate for your volume.
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