Warranty Claim Agent
Agent Description:
The Warranty Claim Agent is designed to automate the lifecycle of a product warranty claim, from initial data intake to final resolution recommendations. It enables support teams to quickly verify coverage eligibility, diagnose issues against standard repair policies, and provide customers with transparent cost estimates and repair options.
- Purpose:
This template streamlines the claims process by extracting critical purchase metadata, calculating real-time warranty status, and applying automated decision rules to determine if an issue is covered. By separating routine hardware faults from excluded categories like accidental damage, the agent ensures that claim handlers can focus on complex cases while providing immediate responses to standard requests.
The agent improves service efficiency and consistency by:
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Validating essential claim fields including SKU, purchase date, and issue description.
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Automating In Warranty vs. Out of Warranty logic based on fixed product rules.
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Differentiating between covered hardware/software faults and non-covered accidental damage.
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Determining the most appropriate resolution path (Repair vs. Replacement).
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Generating itemized repair estimates and alternative replacement pointers for non-covered incidents.
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- Components:
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Claim Intake Agent: Acts as the primary data extractor, validating customer queries and determining the foundational warranty status.
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Warranty Resolution Agent: Serves as the decision engine, referencing product guides and repair policies to output a definitive resolution and coverage flag.
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Structured GET call input parsing
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Warranty status calculation (Active vs. Expired)
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Mandatory field validation and formatting
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Policy-based issue verification (Covered vs. Excluded damage)
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Logic-driven resolution determination (Repair/Replacement/Not Covered)
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Itemized repair cost estimation
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Human-readable claim response generation
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OPENAI GPT_4O_MINI
Note: To learn more about the LLM and to modify its behavior, refer to the Configuring LLM settings section.
Sub-Agents
1. Claim Intake Agent
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Role:Data Extractor
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Scope:Validates user input and calculates initial warranty eligibility.
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Description:Extracts Customer, Product, SKU, Purchase Date, and Issue details. Uses the purchase date and standard rules to mark the status as In Warranty or Out of Warranty, then forwards a structured JSON claim to the resolution engine.
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LLM Used: Default (Inherits from parent agent).
2. Warranty Resolution Agent
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Role:Warranty Assistant
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Scope:Applies decision rules to determine the final resolution and repair costs.
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Description: Reads troubleshooting guides and repair policies. It verifies if the specific issue (for example, display flicker vs. liquid damage) is covered. Outputs a final human-readable response with a Coverage Flag and cost estimates.
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LLM Used: Default (Inherits from parent agent).
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MCP Client- Accesses internal product datasets, troubleshooting guides, and warranty policy documents.
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Input: The system receives a customer query (for example, My laptop screen is flickering; I bought it on Jan 12, 2025).
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Validation: The Claim Intake Agent extracts the date, compares it to the current date (March 18, 2026), and marks it as "In Warranty" (assuming a 2-year term).
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Diagnosis: The Warranty Resolution Agent checks if "screen flickering" is a hardware fault or accidental damage.
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Decision:
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If covered hardware: Flags as "Repair" or "Replacement."
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If accidental/liquid damage: Flags as "Not Covered" and provides a repair quote.
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Final Output: A structured, human-readable claim response detailing the resolution and expected costs.
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I want to file a claim for my ProMonitor X, SKU: PM-99, purchased on Feb 10, 2025. The display has a dead pixel.
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Check if my warranty covers a keyboard replacement for my Laptop S1.