Local government can often be accused of being behind the curve and lacking innovation. However, in this episode, I’m sharing five remarkable case studies from local government in the UK. I hope they may inspire you into AI action!
I love an AI use case, and this week I’m speaking at the Head of Information Systems Annual Conference, so as part of that, I was preparing some relevant case studies.
- Swindon’s AI solution for Easy-Read Documents
- Northumberland County Council’s FloodAI
- South Cambridgeshire District Council’s AI Contact Centre
- Liverpool City Region “AI for Good”
- Barnsley Council Microsoft Copilot at Scale
Before we dive in, a quick note: none of these case studies is magic. Each one relies on good data, clear governance, and a willingness to iterate. If you take away one thing from this episode, let it be this: the technology matters, but the process matters more.
Here are the five case studies
1. Swindon’s AI solution for Easy-Read documents: Simply Readable
At first glance, this looks simple, but it is actually transformational. Swindon Borough Council used AI to create Easy-Read versions of public documents for residents with learning disabilities. What used to cost around £120 per page now costs roughly 1p. Tasks that took two weeks can now be done in about 15 minutes. The ROI is eye-watering at 749,900 per cent.
The key takeaway is not the percentage; it is what it enables. Accessibility is now the default, not a “nice to have.” They also open-sourced the tool on GitHub so other councils can adapt it. Human review is still necessary for quality control, but the efficiency gains make review practical rather than a blocker.
2. Northumberland County Council’s FloodAI
Northumberland is using machine learning to predict flash floods in vulnerable rural communities. The system, FloodAI, protects six communities and provides real-time flood warnings. The council invested £5.35 million and plans to run the project until 2027.
This is AI for prevention, not just response. Success depends on strong data, including weather, river levels, land use, and past flood patterns. False alarms are costly, so calibration and honest communication with communities are key. AI here strengthens emergency planning rather than replacing it.
3. South Cambridgeshire District Council’s AI Contact Centre
South Cambridgeshire built an AI Contact Centre using chatbots and voicebots to handle routine queries. They achieved 93% accuracy, automated 27% of calls, and went live in two months with a 98% mystery shopper rating.
The big win is capacity. Routine calls about bins, council tax, bookings, and forms are automated, freeing staff for complex cases. Two cautions: the bot needs to work for all users, not just confident digital users, and clear escalation paths must exist. When done well, AI contact centres boost citizen satisfaction and staff morale.
4. Liverpool City Region “AI for Good”
Liverpool City Region ran an “AI for Good” initiative centred on a regional AI summit to drive investment and responsible innovation. With over 300 attendees, the program helped create around 1,000 new AI jobs and gained national AI exemplar status. Partners include IBM and Kyndryl.
The lesson is that councils can shape the AI economy locally by convening universities, startups, employers, public services, and citizens. Big events without follow-through are pointless, but Liverpool shows how regional leadership can create real impact, even if internal AI adoption is not complete.
5. Barnsley Council’s Microsoft Copilot at Scale
Barnsley rolled out Microsoft Copilot council-wide using a champion network. They deployed 2,000 licences, trained 150 champions, and achieved over 50% staff adoption. Named Double Council of the Year 2023, Barnsley demonstrates “AI for workforce productivity.”
The champion model works because humans help humans, sharing prompts, reducing fear, troubleshooting, and normalising experimentation. Adoption alone is not a value. You still need to track time saved, quality improved, and risks avoided. Barnsley tackled the hard part first, getting people actually to use the tool.
What ties these together?
Three clear patterns emerge:
- They focused on boring but high-value tasks, including documents, floods, contact centres, staff workflows, and regional convening. Real work, not sci-fi.
- They measured outcomes, such as cost per page, accuracy, calls automated, jobs created, and licences deployed. Numbers matter.
- They treated this as a change, not just tech. Open source sharing, multi-year funding, champions, human review, and public trust all played a role.
If you are thinking, “We are not there yet,” that is fine. Start smaller. Pick one repetitive task that frustrates your team or citizens. Audit it, fix your data, pilot with clear metrics, put governance in place, and scale.
That is it for today. Five local government AI case studies proving what is possible when councils get practical and brave.
If you want a copy of these examples or a template to turn one of your own pain points into an AI use case, drop me a message and I will sort you out.
About the Podcast Host
Joanne Sweeney is a specialist in public-sector marketing and digital communications. She’s the author of Public Sector Marketing Pro and the creator of the Professional Diploma in AI for Public Sector Marketing. With years of experience in training, consulting, and advocating for digital transformation, Joanne provides insight and guidance for government agencies navigating the digital landscape. She is also the host of the award-winning Public Sector Marketing Show podcast.
