As the need for unemployment insurance swept the nation, benefits agencies across the country stepped in to provide aid to those in need. Meanwhile, new legislation and inefficient legacy systems created a perfect storm for errors or fraud, meaning many benefits didn’t reach those who truly needed it.

To reduce improper payments and streamline the system, agencies need a way to analyze applications and identify potential errors. Modern AI solutions can offer an answer.

To help wade through and analyze applications, the Oklahoma Employment Security Commission tapped an AI-based solution from data analytics company SpringML. Making use of Google Cloud tools, the solution uses artificial intelligence and machine learning to uncover suspicious patterns, detect fraud and improve verification.

So, how did the OESC make use of AI and ML to improve benefit integrity? On this episode of the AI: Gov Reimagined podcast, James Hanson, group publisher for Federal and Technology Markets at GovExec, catches up with Denise Winkler, strategic business executive for Global Public Sector at Google Cloud; Arun Natarajan, director of Cloud & Platform Partners for SpringML; and Shelley Zumwalt, CEO and Executive Director at OESC. Check it out!

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