From 10-Day Claims to 2-Minute Resolution
The Claims Bottleneck That Was Costing Millions
10-Day Average Cycle Time
Routine travel claims sat in queues for 7-21 days. 60% of dissatisfied policyholders cited settlement speed as their top complaint.
0% Straight-Through Processing
Every single claim required manual review. Claims handlers spent 30% of their time on low-value data entry and document sorting.
102% Combined Ratio
The carrier was losing money on every policy. Manual processes missed $2.1M annually in subrogation recoveries.
38% Claims Handler Turnover
Repetitive work drove experienced adjusters out. Each departure cost $47K in recruiting, training, and lost institutional knowledge.
Watch: AI Employee Processes a Flight Delay Claim
AI Claims Processing Pipeline
Intake & Triage
AI reads claim submission, extracts key data, classifies by type and complexity in under 3 seconds
Policy Verification
Cross-references claim against policy terms, coverage limits, and exclusions using Semantic DNA memory
Evidence Validation
Checks external data sources — flight APIs, weather data, hospital records — to verify claim facts
Adjudication Decision
Applies claims rules engine: auto-approve, auto-deny, or escalate to human adjuster based on complexity score
Payment or Escalation
Simple claims get instant payment. Complex cases route to human adjusters with AI-prepared summary and recommendation
Before vs After AI Claims Employees
Manual Processing
With AI Employees
90-Day Results Across 400,000 Annual Claims
Claims Automation by Type
Why Traditional Claims Tools Fall Short
Process Claims in Minutes, Not Weeks
See how AI employees can automate your claims workflow with human oversight and full audit trails.
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