The memo looked great.
Clean. Professional. Exactly the kind of document that makes a public agency look like it has everything under control.
Then someone checked the details.
The numbers in the report did not exist.
The data that supported the recommendation was made up. Not vaguely. Not by accident. Confidently and in detail.
That is what AI does sometimes.
And that is the risk a lot of municipalities, public agencies, school districts, utility departments, and local government teams are walking into right now.
The Intern Nobody Onboarded
Imagine bringing in an intern at city hall and giving them access to everything on day one.
Citizen records. Utility billing files. Public works plans. Personnel documents. Grant applications. Police or emergency services notes. Internal emails. GIS data.
Then saying, “Just figure it out.”
No guidance. No boundaries. No one checking their work.
That would never happen.
But that is how many organizations are using AI right now.
Not because people are careless. It is usually the opposite.
AI tools are helpful. They are easy. They are already showing up inside the systems public teams use every day. There is a button in email. One in documents. One in meeting notes. One in project systems. In many cases, AI is appearing inside Microsoft 365 before leadership has had a real conversation about how it should be used.
It feels like help showed up.
And in many ways, it did.
AI can help draft agendas, summarize long meetings, organize public comments, clean up policy language, prepare grant narratives, and turn rough notes into something readable.
For a small city government in Boone County, a public library in Mid-Missouri, a parks department, a water district, or a school district with a lean administrative team, that kind of help matters.
The problem is not the tool.
The problem is no one decided how the tool should be used.
What Is Actually Happening Behind the Scenes
When AI gets rolled out without a plan, a few things happen.
First, information starts going places it should not.
Someone pastes citizen data into an AI tool to clean up a letter. Someone drops budget numbers into a chatbot to make a report easier to read. Someone uses AI to summarize public safety notes, utility account details, or internal personnel information.
It feels harmless.
Most people are just trying to do good work faster.
But public agencies do not get the same margin for error as casual users. Citizen data, public records, student information, infrastructure plans, law enforcement information, and financial records all come with obligations.
That matters in Columbia, Boone County, and across Mid-Missouri communities like Ashland, Hallsville, Centralia, Fulton, Boonville, Mexico, Moberly, Jefferson City, and California. Local governments and public agencies handle information people trust them to protect.
Second, tools show up that no one approved.
A staff member finds an AI site that writes better minutes. Another finds one that organizes grant research. Another uses a browser extension to summarize email. No one from IT has reviewed it. No one has checked the terms. No one knows where the data is stored or whether it can be used to train a model.
Now you have systems connected to public operations that you do not control.
That is not just a technology issue. It is a public trust issue.
Third, and this is the big one, people trust the output.
AI sounds confident. It looks polished. It reads like it knows what it is doing.
But it does not know if it is right.
It can produce a clean summary of a council meeting with the wrong vote count. It can draft a grant application with invented statistics. It can summarize an ordinance and miss the part that matters. It can create a public notice that looks official but includes the wrong date, location, requirement, or citation.
For a business, that is embarrassing.
For a public agency, it can affect citizen services, compliance, funding, public safety, and the responsible use of taxpayer resources.
AI does not fix broken processes.
It speeds them up.
How to Put Guardrails in Place
The answer is not to avoid AI.
That is not realistic, especially in a region like Columbia and Mid-Missouri where government, education, healthcare, infrastructure, economic development, and public services all intersect. AI is going to be part of how work gets done.
The answer is to treat it like a new hire.
Set clear boundaries.
Decide what tools your team can use and what they cannot. Keep it simple. You do not need a 40-page policy to start. You need clarity.
For example:
- Which AI tools are approved for staff use?
- Can AI be used with public records?
- Can staff enter citizen names, account numbers, addresses, student information, or employee data?
- Can AI be used for grant applications, board packets, council memos, or public notices?
- Who reviews AI-assisted work before it is published or sent?
Add a review step.
AI can draft. Your team should approve.
Nothing goes out to the public, elected officials, board members, vendors, residents, media, or partner agencies without a human checking the facts.
That applies to city governments, county offices, public works departments, water and utility districts, economic development organizations, libraries, parks and recreation departments, emergency services, and school districts.
Be clear about what should never be shared.
Citizen data. Student records. Personnel files. Public safety information. Utility account details. Internal legal discussions. Security documentation. Infrastructure plans. Sensitive GIS layers. Financial records. Backup and disaster recovery information.
If your team does not know where the line is, they will cross it without realizing it.
This is also where Microsoft 365 governance matters. If your organization is using Microsoft 365, you need to understand permissions, data access, retention, security settings, and how AI features may interact with the information staff can already reach.
AI does not magically create access.
But it can make existing access problems a lot more visible.
If too many people can see too much information today, AI can summarize, surface, and reuse that information faster than before.
That is why AI planning should be part of a larger technology strategy. Cybersecurity, records management, backup and disaster recovery, access control, email security, endpoint protection, and continuity of services all connect.
Public agencies do not need trendy technology plans.
They need practical ones.
Plans that protect public services, support staff, meet cybersecurity requirements, make grant reporting easier, and respect taxpayer resources.
One Simple Question
If your team is using AI right now, who is checking the work?
If the answer is no one, that is where the gap is.
AI is not the problem.
Unsupervised AI is.
And right now, a lot of organizations have an intern working full time with no onboarding, no policy, no permissions review, and no supervisor.
If you want help putting some simple guardrails in place, we are happy to have that conversation.
Book a 10-minute discovery call
Just making sure your tools are working for you, not against you.
Questions Public Teams Are Asking
Can a Columbia, Missouri city department or public agency use AI with citizen data?
Maybe, but only with clear rules. Citizen data, utility records, public safety notes, student information, personnel files, and account details should not be pasted into random AI tools. Public agencies should approve specific tools, define what data is off limits, document review steps, and make sure records retention, cybersecurity, and privacy requirements are considered first.
How should Boone County and Mid-Missouri public agencies handle AI in Microsoft 365?
Start with permissions and data governance. Microsoft 365 AI features can be useful, but they may surface information staff already have access to. If access is too broad, AI can make that problem worse. Review SharePoint, Teams, email, retention, backup, and security settings before relying on AI for public records, board packets, GIS notes, or internal operations.
What should local governments include in an AI technology plan?
A practical AI plan should name approved tools, prohibited data, review responsibilities, training expectations, cybersecurity controls, backup and disaster recovery considerations, and records management requirements. For municipalities, libraries, parks departments, public works, utilities, school districts, and economic development groups, the goal is simple: improve service without risking public trust or taxpayer resources.