We bought a promising AI tool to automate our scheduling, but our team is complaining that it is making our operations more chaotic. How do we diagnose if the problem is the software or our underlying process?

Question

Tyler Smith · Accepted Answer

When an AI tool causes operational chaos, business owners often blame the technology and scrap the project. In reality, the issue is almost always a broken or undocumented underlying process. AI is an accelerator; if you automate a chaotic, ill-defined workflow, you will simply produce chaos at a much faster rate.

To diagnose the root cause, take this issue to your weekly Level 10 Meeting and run it through the IDS process. First, temporarily pause the AI and have your team map out the exact steps of the workflow manually. Identify where the bottlenecks, communication gaps, and double-handling occur. If your team cannot agree on a single, standardized way to handle the process manually, no software in the world will fix it.

You must first simplify and document the process. Once the manual workflow is consistent, predictable, and produces clean data, you can reintroduce the AI tool to handle the repetitive steps. If the chaos disappears, your process was the issue. If the clean, simplified process still fails when automated, then you know you have the wrong software tool for the seat. Always fix the process before you apply the technology.