Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
UK Department of Health & Social Care · DXC Technology
Vendor-reportedPublic sectorUnited KingdomScaledPublic sector
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by dxc.com (vendor self-report). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.
The problem
Needed to move faster, think bigger, and operate smarter, scaling AI securely across the organization, aligning policy with delivery, and equipping teams to handle unprecedented volumes of data.
What was deployed
- Vendor
- DXC Technology
- Build or buy
- Built in-house or to order
- Data used
- vast national health data
- Scale
- 4,000 users
- Timeline
- 3 months
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
4,000Users onboarded3 months
“4,000 users onboarded in just 3 months”
Quoted word for word from the source
70%Staff actively using AIdaily
“70% of staff actively using AI”
Quoted word for word from the source
Decision-making speed
“Policies, briefings, and responses accelerated”
Quoted word for word from the source
Insights from national health data
“Unlocking insights from vast national health data”
Quoted word for word from the source
Time saved
“It’s a massive time saver”
Quoted word for word from the source
Speed of policy creation and responses to Parliament
“dramatically speed up everything from policy creation to responses to Parliament.”
Quoted word for word from the source
“We went from user research through design, test, and deployment in just three months — to 4,000 people. No other government department had done that. It’s a massive achievement”
Difficulties and limits
- scaling it securely across the organization
- aligning policy with delivery
- equipping teams to handle unprecedented volumes of data
Sources
- dxc.com — vendor self-report, 2026-04-16
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