If you are a city or county leader asking whether government workflow automation is worth it, my answer is yes, but only in the right places and only after the underlying process makes sense. Automation pays off on work that is high in volume, governed by clear rules, and passed between people or systems many times, such as permit intake, invoice approvals, onboarding, and records requests. It rarely pays off when you point it at a process nobody has looked at in years, because then you simply get the same confusion at a faster speed. The agencies I see get real value pick a few well understood workflows first, clean them up before choosing a tool, bring the staff who do the work into the design, and put governance around the result from day one.
I have spent a long time working alongside public agencies on ERP, HR, finance, and AI decisions, and workflow automation keeps coming up in those conversations because it sits right between them. It is also an area where the sales pitch tends to run ahead of the reality, so I want to lay out how I think about it from the buyer’s side of the table.
Where does workflow automation actually pay off in local government?
In my view the best candidates share a few traits. The work happens often enough that small improvements add up, the steps follow rules people can write down, and the delays come from handoffs rather than from judgment. Think about a building permit that waits in an inbox for a completeness check, a vendor invoice that travels through three approvers by email, a new hire whose accounts and equipment depend on a chain of tickets, or a public records request that has to be logged, routed, and tracked against a legal deadline. In each of those cases the expensive part is not the decision itself, it is the waiting, the rekeying, and the chasing.
Where automation pays off less is in work that depends on discretion, relationships, or interpretation. A planner weighing a variance, a caseworker deciding how to help a family, or a finance director balancing competing priorities in a budget should be supported by better information, not replaced by a rule engine. I find that separating those two kinds of work early saves agencies from buying something ambitious that ends up automating the wrong half of the job.
Should we fix the process before we buy an automation tool?
Yes, and this is the point I press hardest with every agency I work with. If you automate a process that has unnecessary approvals, duplicate data entry, and steps that exist only because an old system forced them, you lock all of that waste into a new platform and make it harder to change later. I would start by mapping how the work really moves today, which is often different from what the policy manual says, and asking at each step whether it adds judgment, satisfies a law or policy, or simply exists out of habit.
That review usually turns up quick wins that need no technology at all, such as removing an approval nobody remembers adding or raising a threshold that has not changed in a decade. Once the process is cleaner, the requirements for automation get much simpler, and you can judge whether the features already in your ERP, permitting, or document management system will cover it, or whether you truly need a separate platform or bespoke software. Many agencies already own more automation capability than they use, and I would always check that before buying anything new.
How do we choose the right first workflows to automate?
I would pick the first two or three workflows deliberately, because they set the tone for everything that follows. The ideal first candidate is visible enough that people notice the improvement, contained enough that one department can own it, and simple enough that you can deliver it in a matter of weeks rather than a year. It also helps if the people doing the work are already frustrated with it, because they will be your best advocates once it gets easier.
I would avoid starting with the workflow that touches every department, depends on a messy integration, or carries the highest legal risk. Those may be worth automating eventually, but they are poor places to learn. Before you start, write down what success looks like in plain terms, such as fewer days from submission to decision or fewer requests that have to be returned for missing information, and capture where things stand today so you can show real progress rather than relying on impressions.
How do we get staff to adopt automated workflows?
Staff adoption is where most automation efforts succeed or quietly fail. People in local government have lived through plenty of technology projects that promised to make their jobs easier and then added clicks, so a little skepticism is reasonable. The way I have seen agencies earn trust is by involving the people who do the work in designing the new workflow, letting them point out the exceptions and edge cases the process map missed, and showing them early versions they can react to.
It also matters how leaders talk about it. If automation is framed as a way to cut positions, people will resist it or work around it. If it is framed as a way to take the repetitive parts of the job off their plate so they can spend more time on residents, on harder cases, and on the work that drew them to public service, the conversation changes. I would train people on their actual tasks rather than on software screens, keep a clear path for them to flag problems after launch, and treat the workarounds that appear as feedback that the design needs adjusting.
What governance does government workflow automation need?
Automated workflows make decisions, or at least move work toward decisions, so they deserve the same care you give any public system. I would name an owner for each workflow who is responsible for its rules, its results, and its changes over time. I would document what the automation does and does not decide, keep a human in the loop where judgment or legal accountability is involved, and make sure every action leaves an audit trail that satisfies your records retention requirements.
As more automation tools add AI features, this becomes even more important. An AI step that drafts a response or classifies a request can be useful, but someone needs to be able to explain how it works, check its output, and switch it off if something goes wrong. I would also set a simple review rhythm, perhaps quarterly, to confirm each workflow still matches current policy, because rules change and automated processes do not update themselves.
My view on getting started
Government workflow automation is one of the most practical ways I know for a local government to give time back to its staff and deliver faster service to residents, but the value comes from the thinking that happens before the tool. Start with the process, choose a few workflows that are worth doing and possible to do well, bring your people into the design, and govern what you build. If you want help deciding where to begin, or a second set of eyes before you commit to a platform, I would invite you to start the conversation at Start at Zero.
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