Automating Warranty Claim Decisions with Modular AI Agents and Escalation Logic
The client faced operational bottlenecks due to time-consuming warranty validations, manual checks against policy terms, and inconsistent customer communication. Every request required manual review of product data, warranty periods, and company-specific rules—leading to delays, errors, and poor customer experience.
Accelirate streamlined the end-to-end process with an
AI Agent designed to auto-validate claims, escalate only high-risk cases, and ensure accurate decisions with minimal human input. AI Agent-Powered Solution Breakdown:
01 - Warranty Validation Agent
Evaluates requests based on product details, purchase date, and warranty duration by retrieving data from a centralized service entity.
02 - Policy Compliance Checker
Applies internal business logic and company policies to determine claim validity in real-time.
03 - Purchase Date Calculator
Uses a dynamic date retrieval bot to calculate warranty eligibility based on purchase-to-present time delta.
04 - Human-in-the-Loop Escalation Logic
Automatically escalates cases only when claim amount exceeds $100, ensuring resource focus on high-impact claims.
05 - Email Notifier Agent
Sends alerts for claim decisions, errors, or if no incoming requests were found—ensuring complete communication transparency.
06 - Modular Product Data Services
Allows product warranty terms and prices to be updated without modifying the agent or automation logic.
07 - Secure Cloud Deployment with UiPath
Orchestrated on UiPath with RBAC and compliance-ready architecture for easy monitoring and maintenance
What Was Unique About the Implemented Solution?
This solution exemplifies Agentic Automation, where an AI agent autonomously validates warranty claims by interpreting unstructured data, applying business rules, and checking policy compliance—all in real time. Unlike static workflows, the agent dynamically pulls product details and purchase timelines, then reasons through complex warranty criteria without human input.
By integrating with the client’s existing systems via UiPath and OpenAI, the solution minimized manual review, enabled consistent decision-making, and escalated only the claims that truly required human judgment. The result? Faster resolutions, reduced overhead, and a scalable model that adapts to evolving business policies—without disrupting daily operations.