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A Practical AI Readiness Guide for Local Government Teams

AI readiness starts with understanding the work a department already does. Where do requests get stuck? Which staff members step in when a record is incomplete? What do residents need to hear from the department? Those questions help you decide whether a process change, an automation, or an AI tool would make a difference.

Start with a service your staff know well

Choose a recurring process with a clear owner, such as drafting internal summaries of service requests. Invite staff who see the work at different points. Map how information arrives, where it goes, and what staff need before they can respond. Ask how they handle an unclear request or a question that belongs with another department.

Check where a simpler change could help. A clearer intake question or a shared list of routing categories may reduce extra work right away. Once that process is stable, you can see whether a tool that suggests categories or prepares summaries would help staff handle the remaining volume.

Agree on the scope before trying a tool

Set the boundaries with the people responsible for the service, the tools, and the information used. Identify what staff are allowed to enter, where test results should go, and who can approve expanding the trial. Build a small set of fictional or approved practice requests that reflects the variety staff see.

Use those examples to test different situations. A street repair request and a water service question may be easy to tell apart, while a report about flooding could need a person to decide where it belongs. Give staff a simple way to review the suggestion and route it elsewhere.

Measure what changes for staff and residents

Compare the pilot with the current process. Track how long staff spend on a typical request, how often they change a suggestion, and whether a request reaches the right queue sooner. Ask staff what they have to double check and how much effort that takes.

Decide in advance what would justify keeping the pilot, revising it, or stopping. Make someone responsible for tracking issues and updating the instructions. A short test with useful measures can give department leaders a clearer picture of where AI fits into their work.

Share a short pilot summary with the people who own the service. Record what the team tested, what staff still review, and which questions must be resolved before the next trial. Include how staff can flag any new problems.

WORK WITH LESS DESK

Put this into practice.

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