A national P&C insurer processing 500,000+ annual claims needed to reduce cycle time and operational costs while improving claimant experience. Their existing 21-day average close time was significantly above industry benchmarks.
First Notice of Loss (FNOL) was entirely manual, phone and web forms routed to human triagers.
Damage assessment required physical inspection scheduling, adding 5–7 days to every claim.
Reserve setting was inconsistent across adjusters, leading to leakage and reserving volatility.
Payment authorization required multi-level approval chains regardless of claim complexity.
AidenAI deployed a full-lifecycle agentic claims workbench that automated triage, AI damage assessment, reserve recommendations, and payment orchestration, while keeping adjusters in the loop for complex cases.
Intelligent FNOL intake with NLP-powered classification and automatic severity triage.
Computer vision damage assessment for auto and property claims, no inspection scheduling required for low-complexity claims.
AI reserve recommendation engine trained on 5 years of historical claims data, reducing reserving variance by 40%.
Automated straight-through payment for claims under $5,000 with no fraud flags.
Configurable adjuster workbench with full claim history, AI recommendations, and one-click approval.
60%
Straight-through processing rate for low-complexity claims
21→8 days
Average claim cycle time reduction
40%
Reduction in reserving variance
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