Uncovering subrogation opportunities can be like finding a needle in a haystack
Subrogation is a critical part of claims management, but identifying opportunities can be tedious and time-consuming. Traditional processes rely on manually reviewing accident reports, statements, and notes to determine liability and potential recoveries. Shift’s AI automates this process by analyzing unstructured text, quickly assessing fault, and highlighting subrogation opportunities that might otherwise be missed.
Shift Subrogation finds $25,000 recovery opportunity that could have been missed
An insurer reviewed a two-vehicle collision claim that included a written statement from the insured. The report described the accident in detail, noting that the insured vehicle had been side-swiped by another driver.
Shift’s GenAI analyzed the text of the insured’s statement, estimated liability and subrogation potential, and flagged the claim. The system alerted the insurer’s subrogation team, allowing them to act quickly on a case to pursue for recovery.
-
$25,000 recovered through subrogation on collision
-
Automated analysis of unstructured text, replacing slow manual review
-
Opportunity surfaced faster, enabling timely recovery
How AI automates liability determination to unlock recovery opportunities
Shift’s AI leverages GenAI to extract critical insights from first-person statements, adjuster notes, and other unstructured text. In this case, the system read the insured’s narrative, interpreted the sequence of events, and estimated liability, which automatically identified the other party as likely at fault. By combining liability assessment with subrogation rules, the AI highlighted opportunities for recovery that might have been overlooked in a manual process.
This automation enables insurers to process thousands of claims quickly, uncover hidden recoveries, and improve overall efficiency, while ensuring that valuable subrogation opportunities are never missed.
Learn more from our team of 200+ data scientists
This video is part of a series of interesting cases presented by our insurance-focused team of data scientists. For more examples of Shift Technology's AI-driven results, browse the AI in Action library
