Insurance

Claims Automation for a National P&C Insurer

A national P&C insurer processing 500,000+ claims annually was struggling with a manual, multi-system claims workflow that averaged 21 days to close. AidenAI deployed an agentic claims workbench that automated triage, damage assessment, reserve setting, and payment approval — cutting average claim cycle time to 8 days.

Claims Automation for a National P&C Insurer

Customer Challenges

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.

Problem

  • 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.

Solution Highlights

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.

Key Success Metrics

60%
Straight-through processing rate for low-complexity claims
21→8 days
Average claim cycle time reduction
40%
Reduction in reserving variance