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DHSC needed to scale AI securely across a major public-sector organization so staff could analyze large volumes of health data, accelerate policy work, and support the UK's 10-year health plan without adding friction to critical services.
Reported impact
DHSC reports faster policy creation, quicker responses to Parliament, broader AI-enabled productivity across the department, and a scalable operating model that supports national health-service transformation work.
UK Department of Health & Social Care worked with DXC to operationalize AI as a department-wide productivity and analysis capability rather than leaving it as a pilot. The program moved from user research through design, testing, and deployment in three months, scaling to 4,000 users across policy and operations teams. Staff use AI to analyze large health-related datasets, accelerate policy creation, produce briefings, and speed responses to Parliament, while DXC supports the operating model needed to align policy, delivery, and security at scale. Rather than naming a specific product stack, the story emphasizes co-creation, blended teams, rapid deployment, and day-to-day adoption across a public-sector department. The result is a production AI workflow embedded in knowledge work, turning large data volumes into faster decisions and document outputs that support the UK's 10-year health plan and reduce pressure on the National Health Service.
Department teams work against large health and policy datasets, use AI to analyze information and draft policies, briefings, and responses, then feed those outputs into faster decision-making across the department and health-plan delivery workflows.
"70% of the department now use AI daily."
"It's a massive time saver - helping us analyze huge volumes of data and dramatically speed up everything from policy creation to responses to Parliament."
"The challenge wasn't just adopting AI - it was scaling it securely across the organization, aligning policy with delivery, and equipping teams to handle unprecedented volumes of data."
"Turning AI into real-world impact - empowering people, accelerating delivery, and shaping the future of health and care."
"We went from user research through design, test, and deployment in just three months - to 4,000 people."
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