Automate Warranty Claims Processing
Identify Fraudulent Warranty Claims
Warranty Analytics
Manual review of warranty claims data drastically impacts costs for OEMs and Suppliers — more intelligent processing automation of warranty claims streamlines the overwhelming majority of claims cases, enabling warranty professionals to focus on complex issues
By automatically "reading" manually entered customer and technician notes, you can improve both the efficiency and quality of the claims processing process. You can free up your Warranty Claims Professionals to focus on outlier cases that require more extensive review.
With Agolo's Al, you can automatically analyze manually-entered customer and technician notes attached to a claim note. Agolo's Al automatically connects the key data points - such as Diagnostic Trouble Codes, referenced parts, Technical Service Bulletins, and more - with relevant structured data in your transactional systems. As a result, you can process claims significantly faster.
Fraudulent claims can drastically impact costs for OEMs and Suppliers -- but you can help a warranty claims professional by highlighting claims with a higher likelihood of fraud
By analyzing all the unstructured and structured data in a single platform, your Warranty Claims Professionals to research warranty claims with both more scope and more detail. This enables them to pick up on outliers and other patterns that are indicative of fraud.
With Agolo's Al, you can automatically analyze a much broader set of unstructured and structured data than you currently do. By organizing this data around key entitties in your data, we enable your analysts to more easily see the patterns that indicate fraud.
Enriched warranty analytics offers a wealth of actionable data to identify trends faster and improve operational efficiencies in the warranty repair process.
Vehicle issue symptoms are typically only captured in unstructured text fields in the warranty claim, historically unusable at scale. Extracting this symptom data and correlating it to defective parts can dramatically reduce the time it takes to identify emerging issues, as well as enable OEMs to issue Technical Service Bulletins faster to get ahead of issues before they escalate.
Agolo's Al platform can extract and standardize symptom data from customer and technican verbatims, as well as many other types of structured data, that can be attached as metadata on a claim, powering downstream analytics.