The resistance you see in an AI pilot is likely an operating model problem rather than a people problem.
We spend millions on literacy training while the architecture remains exactly the same.
A recent Gartner discussion highlighted the massive gap between operational gains and actual P&L impact.
When an agent saves a team 46 minutes a day, but your governance requires three manual sign offs to act on that time, you have gained nothing.
You have simply accelerated the noise.
Critics argue that structural redesign is too expensive and risky.
But the alternative is a massive investment in training that yields zero return because the organizational architecture remains a closed loop.
1. Audit workflows to see where AI creates a bottleneck rather than a breakthrough.
2. Redesign the rules.
3. Focus on green money initiatives where redesign leads to actual cost reduction.
Are you investing in people to follow the old rules, or are you building the architecture for the new ones?
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