We rolled out an automated AI workflow for our dispatch team, but technicians are bypassing it because it creates friction in the field. How does an Integrator decide whether to fix the system or kill the workflow entirely?

Question

Tyler Smith · Accepted Answer

When frontline employees create workarounds to avoid an automated system, the workflow has failed its primary operational test. Forcing compliance on a broken process wastes leadership capital and damages trust. Use your weekly Level 10 Meeting to IDS the breakdown dispassionately.

An Integrator should evaluate two distinct factors before deciding to repair or kill the workflow:

- The root cause of the friction. Determine whether the friction stems from user training and habit, or from systemic technical failure. If the model makes bad dispatch decisions because field variables were omitted from its context window, the system is flawed. If technicians simply prefer calling the office because they have done so for five years, management must enforce the process.

- Net cycle time impact. Compare total dispatch turnaround time under the new workflow against the manual baseline. If resolving automation exceptions takes longer than manual dispatching used to take, the tool is a net drain on operational capacity.

If the system requires more than twenty percent human intervention to correct bad outputs, kill the automation immediately. Revert to the documented manual SOP, refine the logic, and only reintroduce automation when the workflow can reliably execute without burdening the field team. A failed automation project is not a company failure; it is simply a process experiment that did not yield the required measurable.