Processing automotive warranty claims often require manual reviews of pictures and video, which are essential for providing visual verification of reported failures.
However, the manual review process is time-consuming and often misses critical details, like detecting duplicate images or pulling out vital information such as vehicle identification numbers (VINs), odometer mileage, or diagnostic trouble codes (DTCs).
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The problem with manual reviews
The current approach to image and video review is 100% manual. Manual reviews may get the job done, but they’re far from ideal. Adjusters spend hours manually inspecting images each month and cross-referencing claim details with the content in the claim images.
But this method comes with significant challenges and potential errors:
- Slow claim processing: On average, about 20% of an adjuster’s time is spent reviewing the pictures or videos to help decision the claim.
- Reduced productivity: Adjusters handle fewer claims because they’re bogged down by manual review.
- Human oversight limitations: Critical details, like extracting and double-checking basics such as VIN and mileage, can be overlooked.
How fraud slips through the cracks
Imagine this: an adjuster reviews a claim for a cracked gas line and approves it. Months later, a different dealer submits another claim with the same image. The second adjuster, unaware of the previous claim, processes the new claim.
These gaps come from the absence of a centralized system to catch recurring patterns. Without a single source of truth, such as AI, fraudulent schemes like this can drain resources and inflate costs.
What's the solution for warranty teams?
Circuitry.ai can help by providing decision intelligence for claims review. When you upload your historical claims data, our AI builds a complete repository of past claim details and images. This centralized approach ensures that when a claim image is uploaded, the system recognizes if it has already been uploaded in the past.
How AI improves claims processing
AI offers a solution to these challenges. By leveraging machine learning and advanced algorithms, AI automates repetitive tasks, freeing adjusters to focus on what matters most.
- Text extraction from images: Automatically pull essential data, like VINs, directly from uploaded images.
- Identifying duplicate images: By building a single source of truth for all your claim data, our system can determine if an image has already
been submitted.
The benefits of AI in image review
The benefits of adopting AI for claims processing are clear. Claims are decisioned faster, which improves dealer and customer satisfaction and reduces operational bottlenecks.
- Faster processing: Adjusters can process more claims in less time, increasing your capacity without requiring additional staff.
- Improved productivity: Adjusters can focus on higher-value tasks, processing more claims without increasing headcount.
- Improved accuracy: Ensure critical claim data, like VINs or DTCs, is captured and verified consistently.
Our solution
Circuitry.ai’s Warranty Decision Intelligence platform delivers the next evolution in claims management. At its core is a fine-tuned AI engine that applies machine learning techniques, including decision trees, neural networks, and clustering. This enables companies to automate processes, reduce costs, and deliver a superior customer experience.
By automating key parts of the claims process, you can save time, increase adjuster productivity, and enhance customer satisfaction—all without adding to your team’s workload.
Ready to make claims processing smarter?
Contact us today to schedule a personalized demo and see all the benefits of adopting AI for claims processing.