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🛡️ 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

>95%
Confidence threshold for auto-settlement
Hours
Resolution time — not days
0
Redundant document requests — customers never repeat information
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

  1. 1
    Cognitive Intake Agent
    Receives claim across all formats (PDF, image, email, form) — decomposes into cognitive tasks and routes to specialized agents simultaneously, not sequentially
  2. 2
    Vision Agent
    Reads receipts, baggage reports, and flight itineraries in multiple currencies and languages — contextual reasoning, not just OCR
  3. 3
    Logic Agent
    Cross-references all evidence against policy conditions, applies deductibles, and calculates payable amount with full audit trail
  4. 4
    Completeness Agent
    Identifies any missing evidence and requests only what is needed — customer never repeats information already submitted
  5. 5
    Decision Engine
    Calculates confidence score for auto-settlement — above 95% triggers immediate payment, below 95% routes to Human Adjuster Dashboard with complete context
  6. 6
    Communication Agent
    Sends 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

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