Why automating a bad process makes it worse

Before choosing a tool, write down what actually happens: the trigger, each handoff, the exceptions and the decision points. Compare that with what the task needs to achieve. Remove work that adds no useful information or control.

Start with the actual sequence

Talk to the people who do the work and follow one real instance from beginning to end. Record where information arrives, where it is copied, who waits for whom, and what happens when the normal path breaks. The exceptions often explain more than the ideal process map.

Then ask of every step: what decision or useful information does this create? If the answer is “none”, test whether the step can be removed. If a check protects against a meaningful error, keep the control and make it clearer.

Automate only the stable part

Once the process is simpler, identify the parts that are repetitive, rule-based and easy to verify. Keep ambiguous cases visible to a person. Define how failures surface, who owns them and how the workflow can be paused safely.

Measure the same task before and after. Count the review time and exceptions as well as the fast path. A shorter workflow is a hypothesis until it works in practice.