Solving Claims Complexity with Autonomous Multi-Agent AI and Deep System Integration
The client faced a series of operational challenges such as manual document reading, eligibility checks, medical code matching, inconsistent scoring, fraud detection gaps, and slow claimant communication. Due to siloed systems and fragmented workflows, claims took over a week to process, with high error rates and compliance burdens. Fraudulent or duplicate submissions frequently went unnoticed, and customers lacked timely claim status visibility.
Accelirate deployed a network of Agentic
AI Agents, each purpose-built to automate a portion of the claims lifecycle:
01 - Document Intake Agent
Extracted structured data from PDFs and images using OCR + NLP, validated completeness, and initiated the claim.
02 - Eligibility Verification Agent
Checked policy status, coverage limits, member eligibility, and in-network hospital status automatically.
03 - Medical Code Validator Agent
Verified ICD/CPT codes, detected inconsistencies, and flagged potential fraudulent patterns.
04 - Claims Scoring Agent
Standardized calculations of deductibles, co-pays, exclusions, and maximum benefit limits.
05 - Approval & Decision Agent
Consolidated all findings and autonomously issued approvals, rejections, or escalations with minimal human oversight.
06 - Customer Communication Agent
Automated notifications across SMS, email, and app with real-time claim updates.
07 - Audit & Compliance Agent
Logged every action, ensuring HIPAA and IRDAI-ready audit trails.