AI in local government: start with the problem, not the technology

A guest blog for council leaders on AI in local government, from Infoshare+ and Barbour Logic. Why starting with the problem, not the technology, matters.

Adoption isn’t the same as innovation

AI is now firmly on every council's agenda, and the pressure to show progress is real — tighter budgets, rising demand, and residents expecting the same ease of service they get everywhere else. But adoption itself is not the same as innovation. Too many AI conversations in local government start with the technology — what a model can do — rather than the problem it needs to solve. The councils that get genuine value from AI won't be the ones that move fastest. They'll be the ones that start narrow, prove it works, and only then scale.

The hidden complexity of everyday services

Take something as ordinary as a parking fine. To a resident, it looks like a simple yes-or-no situation. In reality, it sits inside a web of regulations, exemptions, evidence thresholds and case-specific circumstances that even experienced officers must apply carefully. Multiply that across housing, benefits, licensing and social care, and a pattern emerges: much of what looks like a "simple query" to a resident is, underneath, a genuinely complex judgement. This is exactly where AI adoption is most likely to go wrong — not because the technology is weak, but because the complexity was underestimated from the start.

What experience teaches us

We've seen this first-hand. In one recent deployment, a council introduced an AI tool to help motorists decide whether to appeal a parking fine. Rather than a generic chatbot answering in broad strokes, the tool was built around the actual rules governing the process — reflecting the same regulatory nuance an experienced officer would apply. Motorists got clear, tailored advice and felt equipped to make an informed decision, rather than abandoning the process or (annoyingly for the council), proceed with a futile appeal. No shortcuts were taken on accuracy to get there faster.

The broader lesson holds well beyond parking: AI only earns residents' trust when it's built with real domain expertise, not layered on top of a process as a generic add-on. Complexity doesn't disappear because a chatbot is involved — it has to be understood and designed for.

What responsible adoption looks like

Responsible AI adoption in local government starts with a defined service problem, not a technology roadmap. From there, it depends on genuine domain expertise, good underlying data, and governance built in from day one — not retrofitted once something goes wrong. Outputs need to be accurate and auditable, so councils can explain and stand behind every answer given. And accessibility matters as much as intelligence: a tool that works brilliantly for confident users but leaves others behind isn't solving the problem, it's narrowing who gets helped. Crucially, human judgement still has a place — particularly wherever discretion, vulnerability or genuine ambiguity is involved.

The council of the future

The council of the future won't be the authority that deployed the most AI. It will be the one that applied it intelligently to problems worth solving, measured whether citizens and staff were genuinely better off, and only then scaled what worked. In local government, that discipline — not the pace of adoption — is what will separate real transformation from expensive experimentation.

About Infoshare+

Infoshare+ is a UK data and software company that believes local public services should be truly seamless and connected with the communities they serve. Trusted by hundreds of local government, blue light, and housing organisations, Infoshare+ delivers sustainable, cost-effective solutions that enhance decision-making, streamline operations, and improve service delivery. https://infoshareplus.com/

About Barbour Logic, part of Infoshare+

Founded over 15 years ago, Barbour Logic is a UK-based software provider trusted by more than 60 organisations across the UK. Its suite of products (including Response Master, Chatbot Max, Voice Master and Challenge Writer) is powered by a proprietary AI rules engine encoding over 1,000 policies, generating accurate, plain-English responses to complex citizen queries such as parking fines. The result is consistent, auditable, policy-compliant communication that helps councils manage high-volume correspondence efficiently while improving accessibility for residents. www.barbourlogic.co.uk.

Guest Blog: Gareth Chen-Rees Director - Local Government & Data, Infoshare+ and Jason Barbour – CEO, Barbour Logic, part of Infoshare+

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