Client Context
An insurance provider receiving claims through digital and assisted channels relied on web forms, email, document storage, policy administration, claims platform, and fraud services to support claim intake, classification, coverage checks, evidence requests, and assignment. The operating model handled large seasonal claim spikes across the United States, using claim forms, images, policy data, correspondence, and loss details. Claims teams manually reviewed submissions before basic routing could begin. Fraud indicators and coverage decisions required controlled human review.
Challenges
- Claims teams manually reviewed submissions before basic routing could begin.
- Fraud indicators and coverage decisions required controlled human review.
- Teams manually moved information between web forms, email, document storage, policy administration, claims platform, and fraud services while processing claim intake, classification, coverage checks, evidence requests, and assignment.
- Static rules failed when documents, input formats, or upstream application behavior changed.
- Exceptions accumulated without clear ownership, severity, or resolution guidance.
Solutions Implemented
- Built multimodal intake agents to extract information and validate claim completeness.
- Orchestrated policy checks, evidence requests, assignment, and high-risk escalation.
- Mapped claim intake, classification, coverage checks, evidence requests, and assignment into deterministic steps, AI-assisted decisions, and mandatory human approval points.
- Built document and classification agents to extract, validate, enrich, and route business information.
- Created an orchestration layer linking web forms, email, document storage, policy administration, claims platform, and fraud services with retry logic, circuit breakers, and exception queues.
- Added policy guardrails, confidence thresholds, decision logs, and operational dashboards.
Value Delivered
- Reduced the primary testing or operational effort by approximately [40%], subject to validation against approved engagement data.
- Accelerated initial claim handling.
- Improved consistency while preserving human control for high-risk decisions.
- Created reusable orchestration components for adjacent processes.
Impact Highlights
- Achieved an estimated [30%] improvement in cycle time, coverage, or processing consistency; replace with the approved client metric.
- Reduced relevant defects, failures, or rework by an illustrative [20%]; confirm before publication.
- Reduced queue delays while preserving adjuster judgment.
- Reduced operational dependency on brittle point-to-point scripts.
