Artificial intelligence's inescapable role in local government reorganisation

As Local Government Reorganisation (LGR) gets underway, authorities and their people face the immense pressure of sweeping structural change. LGR is frequently framed as a mountain to climb, a complex exercise in combining disparate cultures and merging distinct service models. However, this period of structural change represents a rare, generational opportunity for a structural reset. The challenge in this reset is the intense operational pressure under which it occurs.

Despite this changing ecosystem, staff are embracing technology to deliver better community outcomes at speed. The backbone of this technological drive is Artificial Intelligence (AI). For a lot of organisations, AI, as a tool, can feel like a future luxury, yet it is not only used by the professional community but is also heavily used by staff in a personal capacity.

AI use is increasing every day because of the productivity and efficiency opportunities it provides to areas like Local Government, where budgets, people and capability are already stretched. Whether these tools are sanctioned or delivered without proper oversight (Shadow AI), it’s likely they are already in use within organisations.

AI could help mitigate organisational friction and accelerate the delivery of the new authority, streamline policy creation and more. However, organisations must ensure the adoption is done with the right guardrails and controls from the beginning.

The opportunity

To move from ambition to execution, leaders must focus on practical, targeted, high-value AI use cases that directly address the pain points of transition.

The ability to bring multiple, distinct policy frameworks, service catalogues, and procedural documentation into a coherent whole for example, enabled by AI-assisted analysis can surface contradictions, identify duplication, and accelerate the drafting of harmonised policies at a pace no manual review team could match, this is not to say the human element isn’t essential, AI should be an enabler to moving at greater pace, not an alternative to human interaction.

The risk

The speed of this technological transition does, however, introduce risk: Shadow AI.

Bleeding-edge tools are available to the average person on the street, at a price available to all. This can lead to well-intentioned frontline staff looking for ways to ease their workload. Consider a dedicated social worker, already under-sustained pressure, facing additional transition backlogs, putting sensitive meeting notes into a personal, unsanctioned Large Language Model (LLM) to quickly summarise a case or leveraging an AI Note Taker within a conference call to a vulnerable person.

This is not a malicious act; it is a natural human response to environmental pressure, yet it potentially represents a catastrophic data governance and safeguarding risk, exposing highly sensitive personal data to commercial models outside of organisational control.

Through embracing the use of AI, organisations can naturally reduce risk and enhance productivity. One could compare the AI ‘leap’ to that of Public Cloud over 10 years ago, where rushed adoption resulted in misconfigurations, data loss and in the worst-case scenarios, organisational breach.

Organisations must get ahead of AI adoption and ensure there are officially sanctioned routes that enable the workforce to engage in a safe and legal manner.

Order from chaos

To do this requires establishing robust policy, coupled with guardrails and governance from day one. Transitioning to a smarter council will not be about restricting technology but enabling safe use at scale.

Crucially, local authorities must ensure sensitive public data is kept within contractually controlled environments to prevent external model exploitation. A structured escalation pathway must also be defined so that when employees identify high-value use cases, they have a clear route to request approved tools, rather than resorting to unsanctioned applications.

Underpinning this governance is the concept of "AI for Security and Security for AI". With all the transformations, the cyber-attack surface expands. In this hostile landscape, AI can be a powerful tool for strengthening cybersecurity posture, providing automated threat detection, anomaly monitoring, and identity and access management. Yet, the AI systems themselves must be secured against novel vulnerabilities, such as prompt injection and data poisoning. Both aspects matter.

It takes a village

Ultimately, LGR will be extremely challenging, but it represents a “once in a lifetime opportunity” for local authorities. Through private-public partnerships, joint understanding of priorities and crucially, teamwork between Local Government and its supply chain, we can catapult local government productivity and efficiency far ahead of where it is today. I believe it also represents a unique moment for us in the IT industry to step up and deliver real partnership, something I’m thrilled to have the opportunity to be a part of.

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