|Project name: ||Fraud, Error and Debt Programme - there are 7 reports for this project: 2013, 2014, 2015, 2016, 2017, 2018, 2019 |
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|Organisation: ||DWP (D10) - see all reports for this organisation |
|Report year: ||2016 (data is from Sept 2015) |
|Category: ||Transformation - see all reports for this category |
|Description: ||The Fraud, Error and Debt programme forms a key part of the Governments commitment to reduce fraud and error in the welfare system. The programme aims to improve the Departments ability to prevent, detect and respond to fraud and error, and to leverage the benefits from increased sharing of intelligence within DWP and across Government organisations.
The key objectives are:
to optimise the use of HMRCs earnings, employment and pensions data for Universal Credit and other income-related benefits, including working with local authorities on Housing Benefit;
to have a debt and deduction recovery solution in place enabling existing cases of DWP, HMRC, local authority debt and other additional third party deductions to be recovered on migration to Universal Credit (UC);
to deliver the Single Fraud Investigation Service (SFIS) project to provide cross-government anti-fraud services;
to provide members of the public with a userfriendly and confidential service to report benefit fraud online;
to increase emphasis on prevention and improved support for detection and investigative action by delivering a business rules-based routing and management system; and
to deliver an online collection service, supporting additional debt recoveries. |
|DCA (RAG): ||Amber/Green |
|DCA text: ||The Programme had an IPA review in February 2016 which recognised that the Programme operates as an effective delivery vehicle for a range of initiatives; has a good track record of transitioning deliverables into live, ensuring realisation of benefits; and robustly evaluates potential future initiatives. Responding to the recommendations, the programme is:
reviewing the Programmes future alignment and composition, ensuring future activities are aligned to support the Departments 2020 vision.
reviewing the membership and operation of the Programme Board; and
ensuring alignment between FED Programme initiatives and the UC Programme, via formal representation and governance routes. |
|Start date: ||2012-04-02 |
|End date: ||2017-03-31 |
|Schedule text: ||The programme has made good progress in the following areas:
SFIS successfully completed roll-out in March 16 as planned.
the first interface enabling a debt and deduction recovery solution for DWP, HMRC and local authorities debt to be recovered on migration to UC was delivered in December 2015. Subsequent interfaces are in the final stages of development / readiness for implementation in Summer 16.
The period has also seen the delivery of a number of solutions into Public Beta:
Wider Use of Real Time Information (WURTi) has successfully deployed and tested its service within a small number of Pension Centres, providing access to RTi data. Roll-out commenced April 2016. Carers Allowance testing commenced May 16 with Employment Support Allowance following in June. The Project is planning further deployment of the service for Housing Benefit, Jobseekers Allowance, and Income Support.
Delivery of an online service for customers to report benefit fraud on line will move into Public Beta in July. |
|Baseline: ||£152.00m |
|Forecast: ||£124.05m |
|Variance: ||-18.39% |
|Variance text: ||The overall reduction in forecast against budget is largely attributable to changes in the scope and timing of some initiatives, together with some reductions in the level of expenditure incurred. |
|Whole Life Cost: ||£834.00m |
|WLCost text: ||The whole life costs include both the implementation costs of the Programme (including a number of individual Projects that have been delivered to date) together with the on-going operating costs of projects within the Fraud, Error & Debt Programme including the costs of operating the Single Fraud Investigation Service. |
|Notes1: || |
|Notes2: || |
|Sourcefile: ||IPA_2016.csv |
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Acknowledgement: GMPP data has been re-used under the Open Government Licence.