Select committee: Public Accounts Committee

Conclusion 24

6th Report - DWP Customer Service and Accounts 2023-24 Published 31 Jan 2025 Addressed to HM Treasury
Conclusion (the committee's words)
Benefit payments may be incorrect due to deliberate fraud, either by individuals or by organised crime groups, or unintended error by claimants or by DWP or another part of government. The C&AG qualified his opinion on the regularity of DWP’s 2023–24 financial statements due to the material level of fraud and error in its benefit expenditure (except for expenditure on State Pension, for which the level of fraud and error is significantly lower). Regularity relates to whether money has been spent as Parliament intended, for example whether spending complies with relevant legislation. This was the thirty–sixth consecutive year for which DWP’s accounts have been qualified due to material fraud and error.48 Underpayments

From: Public Accounts Committee, 6th Report - DWP Customer Service and Accounts 2023-24 (HC 354), 31 January 2025

Government response

The government responded to the whole report on 6 May 2025.

Summary written by Accountability Index from the government's response. It is not the government's own words.

The government agrees with most of the Committee's recommendations in this response, but disagrees with the recommendation that it set out when it expects to meet its PIP processing target.

  • On PIP claim times, the government disagrees with the recommendation, stating the department "has to balance speed against the risk of inaccuracy". It says the Health Transformation Programme will modernise PIP "in the longer-term".
  • On ESA calls, the government agrees and says it is recruiting 160 colleagues by March 2025. It states that customer wait times for ESA enquiries "will be improved by September 2025".
  • On counter fraud, the government agrees and says that from April 2025 the department "will begin progressive deployment of an additional 3,000 staff", expecting the full number to be in role by 2027-28.
  • On machine learning, the government agrees and gives a target implementation date of summer 2025. It says the department "will support an in-confidence session" on the 2024 fairness analysis assessment.

Read the government's response ↗ Report an error