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Best Practices

Common Automation Mistakes to Avoid

The most common automation mistakes are automating a broken process instead of fixing it first, removing all human oversight, and starting with too large or too ambitious a first project.

Automation projects that fail or underdeliver rarely fail because the technology didn't work. They usually fail because of avoidable planning mistakes: automating the wrong process, removing human judgement where it was genuinely needed, or attempting too much at once without a clear sense of priority.

Understanding these common mistakes upfront makes it considerably more likely that an automation project delivers the value it should, and avoids the specific frustrations that make some businesses wary of automation after a poorly planned first attempt.

Automating a broken process

If a process has unnecessary steps or genuine inefficiency, automating it as-is just makes that inefficiency run faster and more consistently. It's usually worth optimising the process first, then automating the improved version, rather than locking in existing waste.

Removing all human oversight

A common mistake is assuming full automation, no human review at all, is the goal. For anything customer-facing, financially significant, or genuinely ambiguous, removing human oversight entirely creates real risk. Good automation keeps a clear, deliberate review point wherever judgement genuinely matters.

Starting too big

Attempting to automate an entire department's operations in a single project, rather than starting with one well-defined process, tends to take much longer, cost more, and deliver a less certain outcome. A smaller, successful first project builds the confidence and clarity needed for larger ones later.

Ignoring the exceptions

Every real business process has genuine exceptions and edge cases. Automation that only handles the ideal, happy-path scenario and silently mishandles or ignores exceptions creates a worse outcome than the manual process it replaced. Good automation explicitly identifies and routes exceptions to a person.

Treating automation as a one-time project

Business needs change, and automation built for how a process worked a year ago may no longer reflect how it actually works today. Automation that's never revisited or refined tends to drift out of alignment with the business over time.

Practical takeaways

  • Fix a genuinely inefficient process before automating it, rather than automating the inefficiency.
  • Keep deliberate human review points for anything customer-facing or consequential.
  • Start with a single, well-scoped process rather than attempting everything at once.
  • Build explicit handling for genuine exceptions, not just the ideal happy path.
  • Revisit and refine automation periodically as your business and processes evolve.

Common questions

What's the single most common automation mistake you see?

Automating a process before examining whether it's genuinely the right process to keep, which locks in existing inefficiency rather than fixing it.

Is it a mistake to try to remove all manual work from a process?

It can be, if it removes genuine human judgement from decisions that need it. The goal is removing repetitive, rules-based work, not eliminating every point where a person's judgement adds real value.

How do we avoid our automation becoming outdated over time?

Build in periodic review as a deliberate practice, rather than treating automation as a one-time project that never needs revisiting as your business changes.

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