We want to better understand what our wide range of different claimants need and expect, and how and why this is changing, for example, in light of the continued rapid development and use of technology, artificial intelligence and digitalisation.
We want to learn how we can improve how to measure and manage operational performance and productivity across the different parts of the business and identify and exploit opportunities to make delivery more effective, efficient and economical to reduce costs and ensure value for money for the taxpayer. We also want to better understand how to minimise the opportunity for fraud and error to enter our systems, and how to improve the speed and accuracy with which we detect it if or when it does.
Send correspondence and further questions to evidence.strategyteam@dwp.gov.uk.
This question was published as part of the set of ARIs in this document:
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 BELFAST
The project uses artificial intelligence and natural language processing to drive efficiency and increase customer satisfaction, which partially addresses the question.
To introduce and embed artificial intelligence, data mining and machine learning capabilities to enable it to achieve transformational business service opportunities with increased speed, accuracy and productivity at low...
Funded by: Innovate UK
Lead research organisation: UNIVERSITY OF LIVERPOOL
The project introduces artificial intelligence, data mining, and machine learning capabilities to achieve transformational business service opportunities with increased speed, accuracy, and productivity at lower cost, which partially addresses the question.
CM-DAT Ltd was established in 2019 with a clear long-term aim of developing a data-driven business intelligence platform. The platform aims to empower senior decision-makers in large scale service organisations - whether...
Funded by: Innovate UK
Lead research organisation: CM DAT LTD
The project focuses on using data to drive health and social care sustainability, which is not directly related to improving the effectiveness and efficiency of DWP and customer service and labour market support through predictive modelling, automation, digitalisation, big real-time data, and machine learning.