Artificial Intelligence

AI Won't Fix a Broken Process

Why AI works best after the process itself has been improved. Introducing AI into a broken workflow tends to make the problems faster rather than smaller.

2 min readStarting with AI
Starting with AIArtificial Intelligence

Artificial intelligence is everywhere at the moment, and it is easy to speak about it as if it can solve every business problem. It cannot.

One of the most important things to understand about AI is that it does not fix a broken process. If the work is wasteful, duplicated or unclear, AI often just helps that bad process happen faster.

“AI does not fix a broken process. If the work is wasteful, duplicated or unclear, AI often just helps that bad process happen faster.”

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Faster does not always mean better

Imagine your team has to enter the same information into three different systems. AI might automate some of that typing, but the real issue is not the typing. The real issue is that the process was designed badly in the first place.

Sometimes the best improvement is not automation. It is removing unnecessary work entirely.

AI follows the process you give it

AI does not question duplicated work, unclear approvals or tasks that no longer add value. It simply works within the process it is given.

That is why process improvement should come before automation. Otherwise the business is asking technology to make inefficiency more efficient.

Start with the business

  • What is slowing the team down?
  • Which tasks take the most time?
  • Where do mistakes happen most often?
  • Which activities add the least value?

Those questions often reveal that the first opportunity is to simplify the business, not to buy more technology.

Clean the process before automating it

Before introducing any AI tool, remove unnecessary steps, resolve ownership gaps and document the workflow clearly. AI applied to a clean process creates genuine value. Applied to a confused one, it creates faster confusion.

56%

of AI implementations underperform because the underlying process was not improved first

Process readiness is a stronger predictor of AI success than the sophistication of the tool chosen

Final thought

AI has enormous potential, but it should never be the starting point. Understanding the process and improving the work first is what allows AI to create real value.

Apply this thinking

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