Automation sped up the wrong process

A faster step may still be unnecessary

Automation makes a repeated action easier to perform. It does not decide whether the action should exist.

A process can contain duplicate notifications, repeated data entry or a review that no longer serves a useful purpose. Automating those steps may make them less visible without making the workflow better.

Before improving the speed of a process, understand what the process is meant to achieve.

The problem: today’s workaround becomes tomorrow’s rule

Workarounds often begin as sensible responses to a missing feature or an urgent request. Over time they can become expected steps.

A new automation may be added without removing an older rule. Both can then respond to the same change, creating duplicate work or inconsistent results.

The question is broader than whether each rule runs successfully. It is whether the combined behaviour still matches the intended process.

A practical example of overlap

In a documented onboarding engagement, testing revealed a workflow running twice while an original and a duplicate version were active. Another rule moved an item separately from the main workflow.

The working session recorded consolidation of that movement into the primary workflow and archiving of an older version. A later test created the required tasks and moved the item.

This is evidence of a specific test and configuration change. It does not demonstrate a measured reduction in processing time or prove that every remaining issue was resolved.

The example shows why the full set of rules needs attention when a workflow changes.

The approach: simplify before defining triggers

Walk through the process from its starting event to the useful result.

For each action, ask what decision or obligation it supports. Identify where the same information is entered twice, who receives a notification and which exceptions need a person.

Then define the remaining rules in plain language: when this happens, under these conditions, take this action. Make it clear when nothing should happen.

Agree who owns the process and who can change its automations. An owner needs visibility of the whole sequence, including older rules and integrations.

Test the process as a sequence

Use a normal example and a difficult one. Try an incomplete record, an unexpected status and a correction to an existing item. Check what happens when the same input arrives again.

These are recommended review scenarios. Their value is in revealing behaviour that a single successful demonstration may miss.

Record the expected result before testing. If the result differs, decide whether the problem sits in the process definition, the data or the automation.

The outcome worth pursuing

A simpler process has fewer unnecessary actions and clearer responsibility for the actions that remain. Automation can then support that design.

If you want to claim time saved later, establish the baseline first and compare similar work over an agreed period. Until then, describe the change that was tested rather than assigning an invented benefit.

Start your free Initial Analysis to explore where work becomes repetitive or fragmented. If a workflow is already causing trouble, discuss your situation.

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