Streamlining High-Volume Claims and Fraud Detection with Tailored Agents and Human Validation
The client struggled with lengthy claim validation cycles, manual fraud checks, inconsistent decision-making, and delayed communication to customers. Officers had to dig through large volumes of historical data manually and compose individual emails for every claim response. This led to bottlenecks, errors, and non-standardized operations.
Accelirate addressed these issues through the following AI Agent-powered solutions:
01 - Claims Insights Agent
Automatically analyzes applicants’ historical claims to identify approval trends, fraud patterns, and behavior-based risk.
02 - Fraud Investigator Agent
Evaluates claims in real-time against business rules and historical patterns, flagging suspicious or potentially fraudulent activity.
03 - Claim Adjudicator Agent
Provides clear recommendations (Approve/Reject/Flag) by combining business logic with fraud insights, ensuring consistency and transparency.
04 - Mail Composer Agent
Automatically generates tailored email drafts with decisions, remarks, and reasoning, editable by officers before sending.
05 - Validation Control Interface
Triggered only when a claim requires human review (e.g., high-value or fraud-flagged cases), reducing manual checks.
06 - Integrated Workflows via UiPath Orchestrator
Ensures all agents work in sync and maintain audit trails and role-based access.
07 - Customizable Dashboards
Built using UiPath Web App for intuitive claim management and officer visibility.
08 - Cloud-Based Deployment
Delivered within 10 weeks with robust RBAC, OAuth2 security, and minimal downtime
What Was Unique About the Solution That Was Implemented?
The solution wasn’t just about automation; it brought intelligent decision-making into claims processing. The integration of four specialized AI Agents tailored for specific sub-functions ensured a layered, auditable decisioning flow. The addition of human-in-the-loop validations only when needed maintained oversight without compromising speed. What made it truly unique was the balance of automation + officer empowerment—where AI worked in the background, and officers had clarity, control, and efficiency in their hands.