This encompasses priorities around:
- continuing to reduce and prevent fraud and error in benefit expenditure
to deliver value for money for the taxpayer and an appropriate balance between effective fraud prevention and good customer experience
- becoming an increasingly data driven organisation with modern, secure, sustainable, and automated systems to drive better experiences for DWP customers, staff and taxpayers
- understanding customers’ experience so DWP can target interventions when and where they have the most impact
- working smartly and flexibly to deliver services when, where and how DWP customers need them, increasing analytical capability to tailor services to customers’ individual needs and circumstances
Send correspondence and further questions to firstname.lastname@example.org.
This question was published as part of the set of ARIs in this document:
Specialised digital platforms to mediate and transform public-facing services such as healthcare, social care, smart cities, and education, are becoming one of fastest-growing tech sectors globally. A critical success fa...
Funded by: Innovate UK
Lead research organisation: Advanced Digital Innovation (UK) Limited
The project uses AI and data analytics to optimize digital platforms for public services, which aligns with the question's focus on tailoring services to claimants' needs and improving efficiency.
Financial and insurance services contribute more than 7% of UK national income and over one million jobs, with around one third of this employment in insurance. London is the leading global centre for specialist commerci...
Funded by: ESRC
Lead research organisation: Loughborough University
The project explores the application of AI technologies in the insurance industry, which is relevant to the question's focus on the benefits and risks of digital services and the effectiveness of digital transformation.
To exploit the field of Artificial Intelligence to help drive efficiency within the core Claims and Underwriting value claims. To use computer vision and natural language processing to drive efficiency and increase custo...
Funded by: Innovate UK
Lead research organisation: Queen's University of Belfast
The project aims to use AI to drive efficiency and increase customer satisfaction in claims and underwriting, which is relevant to the question's focus on tailoring services to claimants' needs and improving satisfaction.