July 27, 2026
As local governments continue expanding their use of AI, the conversation is shifting toward practical implementation.
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Local governments have moved quickly from AI curiosity to early adoption. Tools like Microsoft Copilot are becoming part of the daily work environment, and employees are using AI to summarize information, draft content, support deeper analysis and reduce manual task effort.
However, the 2026 MNP Municipal Report shows that many local governments are still building the structures needed to support AI use with consistency, confidence and accountability. While adoption is increasing, it doesn’t necessarily translate into organizational readiness.
In 2025, MNP explored the gap between AI interest and readiness, including how local governments could get started with generative AI tools, build an adoption roadmap and strengthen AI governance.
We now pick up from that foundation, as the question for local governments pivots from whether AI should be explored to how it can be used responsibly, practically and at scale.
The 2026 MNP Municipal Report illustrates the headway made with more than half of local governments, 55 percent, now approve Microsoft Copilot for use.
But approving a tool is different from being prepared to use it effectively. Local governments also need the right expertise, policies, training, data practices and oversight to help employees use AI safely and effectively.
The readiness gap is showing up in several areas.
These barriers point to a broader operating issue. AI tools are increasingly easy for employees to access, which can create informal use across the organization before controls are fully in place. That may improve personal productivity in the short term, but it can also introduce risk if data, security, review and accountability are not clearly addressed.
AI can also magnify weak processes. When a poor decision, incomplete data set or unclear workflow is automated, the impact can grow quickly. This makes human oversight and governance critical, especially in public sector environments where trust and accountability are central to service delivery.
The most important AI skills aren’t limited to technical roles. The report shows local governments are placing greater value on practical, everyday capabilities:
That suggests AI literacy needs to become a standard part of the employee skillset. Staff don’t need to become AI experts, but they do need to understand when AI is appropriate, how to question outputs and where human judgement is required.
This is especially important for local governments. Employees are working with public information, internal records, resident needs and sensitive decision-making processes. AI can support that work, but it can’t replace the accountability of the people using it.
A useful way to frame AI is to define its role as clearly as any other role in the organization. What should it support? What should it never decide? Who reviews its work? Where does the final accountability sit? These questions help employees understand how AI fits into their work instead of treating it as a separate technology project.
Internal enablement remains one of the clearest gaps. Findings show that 42 percent of local governments provide no training or resources, meaning many employees are being asked to navigate AI without enough support. That creates inconsistent use. Some employees may avoid AI entirely because they’re unsure what is allowed. Others may experiment with tools without fully understanding the data, privacy or accuracy risks.
Rather than treating AI training as a one-time rollout, local governments can use the following checklist to help employees build confidence and apply AI consistently:
AI training checklist
This doesn’t mean every local government needs a large AI team. But it does require a shared baseline of understanding, along with internal champions who can help reinforce responsible use as tools evolve.
AI is already being applied in process-heavy areas of local government. According to the report, current applications include:
These functions are often good starting points because they involve repeatable tasks, defined standards and large volumes of information. Communications teams may have brand guidelines and approval processes. HR teams may work with policies, contracts and recruitment materials. Finance teams may need to reconcile data across systems, identify anomalies and prepare reports.
AI can also help reduce manual effort in these areas by supporting work such as:
A successful first use case can build confidence, but lasting progress comes from applying those lessons across the organization. As AI continues to evolve, local governments should regularly evaluate their processes to identify repeatable, high-impact opportunities and scale proven approaches across teams.
By continuing to build on what they’ve learned, local governments can move beyond isolated AI initiatives and expand practical improvements across the organization. Over time, those incremental changes help create more consistent ways of working. The result is AI that’s not only efficient, but also transparent, reliable, measurable and connected to a clear operational outcome.
Many local governments understand that AI needs governance, but what comes next is making sure governance is applied to real tools, workflows and decisions.
A policy document is important, but governance only becomes effective when it’s applied to everyday work. Employees need to know how the policy affects their daily tasks. And leaders need to understand where data is stored, how AI tools use that data and how outputs are reviewed before they inform decisions.
This is also where approved enterprise platforms can play a role. Some local governments are looking more closely at tools they already use, such as Microsoft 365 and Azure, because they may have existing security, access and data controls. Starting with familiar systems can reduce uncertainty and help employees build trust within a more controlled environment.
Another priority is improving visibility into shadow AI. If leaders don’t know which tools employees are using, it becomes difficult to manage privacy, data security and quality risks. Clear guidance helps employees experiment safely without moving sensitive work into unapproved platforms.
AI maturity will look different across every local government. Some leaner organizations may be further ahead because they have clear use cases, practical training and strong controls. Others may have approved tools but limited adoption, guidance or value tracking.
An effective path forward includes:
The opportunity is to build on today’s momentum by applying AI where it can improve everyday work, support informed decision-making and create better outcomes for employees and residents they support.
AI is prompting many organizations to ask a better question: is there a better way to do this work? Sometimes that means improving an existing process before AI ever becomes part of it. Other times, it means identifying where AI can remove repetitive work, support employees and create better results.
It’s already becoming part of municipal work. The opportunity now is to ensure it’s used with purpose, accountability and measurable value.
By pairing approved tools with practical training, clear governance, strong data practices and prioritized use cases, local governments can move from early adoption to true value, and use AI to better support employees, decisions and residents.
Connect with MNP to assess where your local government sits on the AI maturity curve and build a practical plan to close the gap between adoption and readiness, including governance, training and prioritized use cases.
Jason Lee is a Partner and MNP Digital’s Applied Data & Analytics Lead. Drawing on two decades of experience in technology, project and account management, and data innovation, Jason solves complex technology and business challenges to help his clients thrive.
Elka is MNP’s Modern Workplace Leader, specializing in the Microsoft ecosystem. She is a trusted senior business advisor, leveraging her extensive knowledge and experience to help organizations optimize their digital productivity tools and maximize their value in the workplace.
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