AI can help your company do the wrong things dramatically faster.
That may be one of the most underestimated risks of the AI revolution. Automating a bad process doesn’t transform it. It industrializes the problem.
Consulting IQ
There is enormous attention today on AI agents, automation, productivity, and efficiency.
And rightly so. But before asking, “Can AI automate this?”, leadership teams should ask a more fundamental question:
“Should we still be doing this at all?”
Imagine a company produces a weekly management report that takes six people eight hours to prepare. AI reduces that work from 48 hours to 30 minutes. Impressive.
But what if nobody uses the report to make a meaningful decision? You haven’t created transformation. You’ve simply made an irrelevant process extraordinarily efficient.
This is why the transition from AI Enablement and Adoption to Automation and Enhancements requires more than technology. It requires management judgment.
What should disappear?
What should be redesigned?
What should be automated?
Where should humans remain involved?
Which decisions could happen faster?
Which data should trigger action automatically?
And most importantly: What measurable business outcome should improve because of it? Revenue? Margin? Working capital? Conversion? Customer retention? Productivity? Risk? Speed of decision-making?
If the answer is unclear, the AI initiative probably isn’t clear either.
At Consulting IQ, we believe AI should ultimately connect intelligence to action. A business problem. A decision. An action. A measurable result.
That is Phase 2: Automation and Enhancements.
But there is an even bigger opportunity ahead. Because the ultimate question is what kind of company you could build if AI were part of its operating model from the beginning.
