Agency Readiness Can Shape the Value of AI and Automation

An AI or automation tool can perform as described and still deliver little value to an agency. The difference often lies in the operation around the software: whether staff follow consistent processes, information moves through accessible systems, and someone has authority to resolve problems. A week spent examining those conditions can give agency leaders a clearer basis for evaluating products than another round of demonstrations.

Technology conferences offer broad ideas about what brokers might do with new tools. But a presentation can’t establish whether a platform fits a particular agency’s workflows. Product descriptions explain what software can do; they may leave open what it will change in daily work. Agencies often discover that distinction after adoption has begun, when process gaps and inconsistent habits become harder to ignore.

Map the work before comparing tools

Start with a task that multiple offices perform, such as handling a renewal. Choose recent examples from two locations and compare the client files. Look for differences in what information staff gathered, where they recorded it and what they considered a complete file. Those variations show the conditions a new system would encounter from its first day.

The point isn’t to find fault with individual employees. Different approaches may have developed because teams were solving local problems or working around older systems. But if the same task takes different paths, a tool may automate only part of the work, or produce inconsistent results from one office to another. Leaders can use the comparison to identify which steps need agreement before they assess how software might support them.

Next, trace client information from the first conversation through to the bound policy. Count each place it is entered, copied, stored or passed along. Every stop may have a reason: a team needed a way to share details, preserve a record or complete a handoff. Still, information kept outside the agency’s main system may not be visible to a new tool. Knowing where those gaps occur helps leaders ask more specific questions about what a proposed product can access.

Identify ownership and training gaps

For each process, identify the person who is responsible for the sequence from start to finish and can change it when something goes wrong. If staff can’t name that person quickly, the agency may lack clear process ownership. A software provider can explain how a feature works, but it can’t decide who inside the agency should resolve a stalled task or approve a workflow change.

That question carries practical weight during implementation. When a handoff fails or employees disagree about the right steps, a named owner can make a decision and keep the work moving. If responsibility is unclear, issues can linger or be handled differently across teams. Settling ownership before signing a contract gives an implementation team a clearer path for addressing problems as they arise.

New-hire materials provide another useful test of how consistently work is documented. Check what a new employee receives on the first day. Written procedures, a checklist and a clear description of a complete client file suggest that important knowledge has been made available to the broader team. If training depends mostly on shadowing a colleague for a week, the process may rely on individual memory and habits that are difficult to reproduce.

That reliance can affect both automation and growth. A system can follow instructions, but it can’t infer an unwritten exception consistently. Documenting the steps people already use gives the agency a stronger basis for deciding what a tool should handle and where staff judgment remains necessary. It can also make training less dependent on which colleague happens to be available.

Use past adoption to set realistic expectations

Review the agency’s last major system change. Consider how long it took employees to adopt the new process, which features or steps were dropped quietly, and who returned to familiar ways of working. That history can reveal where staff needed more support, which parts of the rollout were difficult, and whether leaders made time for adoption after launch.

Past experience won’t tell an agency exactly how its next implementation will go. It can, however, help leaders plan with their own conditions in view. If staff previously bypassed a system because it didn’t fit a routine, the next project should examine that routine early. If adoption took longer than expected, the project plan can account for training and follow-up rather than treating launch as the finish line.

Agency leaders can conduct this review with a small group of people who understand the work. It takes a few hours of focused discussion, along with a willingness to accept what the examples reveal. A process described as standard may turn out to work differently across offices. Finding that variation before signing a contract gives the team time to decide whether to align the process, address exceptions or include them in implementation planning.

Move quickly with the groundwork in place

Interest in AI and automation is growing, and agencies that put useful tools to work may build an advantage over time. Speed still matters, but a quick purchase alone doesn’t ensure that staff can use a product well or that it addresses a meaningful problem. The agencies most likely to capture value are those that match the tool to a defined workflow and prepare the people responsible for that work.

Use the internal review to separate issues that need a decision before contracting from those that can be addressed during implementation. Clear process ownership belongs near the top of that list; software can’t settle an accountability question. Other findings can go into the project plan, with a named person responsible for each task.

With those answers in hand, leaders can evaluate vendors against the agency’s actual workflows, information paths and adoption experience. The week spent understanding the operation helps make the next year of technology work more focused.