DWP machine learning saves £4.4M in fraud detection

DWP Machine Learning Saves £4.4M in Fraud Detection

According to the National Audit Office (NAO), the UK government's Department for Work and Pensions (DWP) saved £4.4 million over three years using machine learning to tackle fraud.

Poor data standards across government hamper scaling, says Parliament spending watchdog. The DWP's ability to expand this work is limited by fragmented IT systems and poor cross-government data standards.

DWP should build on its existing use of data analytics to explore how these emerging technologies may help to detect and prevent fraud and error - Laura Brackwell, report director.

The NAO praised the DWP's efforts but urged it to go further. The DWP's IT systems are not fully integrated, preventing staff from accessing complete claimant information.

Author's summary: DWP saves £4.4M with machine learning.

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The Register The Register — 2025-10-27

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