A useful automation project begins with a specific task that staff understand. It might be moving a request into the right queue, sending a receipt, checking that required fields are present, or reminding a team about an outstanding action.
The starting question is straightforward: where does repeated handling make the service harder to deliver? Looking at the workflow first helps a local government organization choose technology that fits its responsibilities and the people doing the work.
Map one request from beginning to end
Pick a common service and walk through a real example with the people who handle it. Record where the request arrives, which information staff copy, which systems they open, and how they decide what happens next. Use anonymized examples when discussing or demonstrating the workflow.
Include the awkward cases. What happens if an attachment is missing? What if a request reaches the wrong team? Who notices when a step fails?
A simple process map should show the trigger, the actions, the decision points, and the person responsible at each handoff. If the team disagrees about how a step works, resolve that before automating it.
Choose a bounded first project
For a first release, look for a repeated task with clear inputs, an observable result, and a practical way for staff to take over. A narrow scope makes it easier to check whether the change is useful.
| Candidate task | First version | Staff responsibility |
|---|---|---|
| Acknowledging a service request | Send a receipt with a reference and next steps | Own the response expectations and handle exceptions |
| Routing an intake form | Assign a queue using explicit service categories | Review unrecognized or ambiguous requests |
| Checking required information | Flag missing fields before review | Decide whether the submission can proceed |
| Following up on an open task | Notify the assigned staff member | Decide and record the next action |
Avoid combining several departments and many unrelated systems in the first pilot. Test one complete workflow before expanding its reach.
Decide whether AI is needed
Some tasks can be handled with ordinary rules: if a resident selects a service category, route the request to its assigned queue. Adding AI to that step may introduce uncertainty without improving the experience.
AI may be worth evaluating when the input is less structured, such as grouping free-text requests or drafting a summary for staff to review. Define what the system is allowed to suggest, how uncertainty is shown, and who verifies the output before it affects a resident.
For consequential decisions, keep the responsible staff member’s review explicit. A draft summary and an approved decision should look different in the interface and in the record of what happened.
Agree on data handling and access
Before connecting systems, identify which information the workflow needs and who is allowed to see it. Review proposed tools and data flows with the organization’s responsible security, records, and service teams.
The project brief should describe access roles, where information is stored, how changes are recorded, and how the organization can stop the automation. Use representative test data during development rather than copying live resident information into a prototype by default.
Design the exception path
Every automated workflow needs an understandable way to fail. A request should not disappear because a connection is unavailable or a field is unexpected.
Give staff a visible queue for unresolved items, a useful explanation of the problem, and a way to retry or complete the action manually. Plan how duplicate submissions and repeated retries will be handled. Test these situations before handing the workflow to the team.
Measure the service, not just the automation
Before the pilot, agree on a few observations: time spent handling a request, corrections required, unresolved items, and clarity for the resident. Review them with staff after the workflow has been used on real work.
Expand when the team can explain both the benefit and the exceptions. If the pilot reveals a larger tooling gap, consider whether a tailored application or an existing platform fits better. For the resident-facing side of the journey, see planning a local government website.