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Automotive Giant Accelerates Dealer Claims Processing

Automated a complex claims ecosystem across dealerships to improve turnaround times, compliance, and partner satisfaction.

Company Overview & Challenge

A globally recognized automotive OEM was dealing with increasing pressure to handle dealer warranty and service claims faster. With different rules per program, manual workflows, and growing volumes, the claims process had become inconsistent, error-prone, and difficult to audit. They needed a smarter way to process, validate, and track claims — without overhauling legacy systems.

The Challenge

High volume of claims submitted daily from dealer portals and internal systems

Complex, rule-based validation based on program, part type, and region

Manual processing created delays, errors, and missed SLAs

Visibility into claims status and exceptions was limited

The Solution

AI-Powered Claims Processing

Deployed AI agents to ingest, validate, and route dealer claims from multiple portals and systems, creating a unified processing pipeline.

Dynamic Rules Application

Rules were dynamically applied based on part category, VIN, and coverage terms, ensuring accurate validation without rigid workflows.

Exception Handling

Exceptions were intelligently flagged and routed to human reviewers with context, reducing resolution time and improving accuracy.

Real-Time Updates & Compliance

Agents updated internal systems and dealer-facing portals in real time, providing transparency and reducing status inquiries. Full traceability and audit trail included for compliance.

Business Outcomes Delivered

Improved claim turnaround time by over 60%

Reduced manual intervention on standard claims

Increased dealer satisfaction with faster, transparent processing

Strengthened compliance through audit-ready workflows

Enabled better data visibility for warranty and service teams

Why It Worked

This wasn't just automation — it was orchestration. The platform handled variability, exceptions, and manual steps with precision. No rigid rules engines. No one-size-fits-all workflow. Just intelligent agents working in sync — across systems, rules, and teams.

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