Operational Excellence Meets Intelligent Automation
The intersection of proven operational discipline and emerging AI capabilities — and why treating people like machines fails when actual machines show up.
Goodhart's Law and the Measurement Trap
When a measure becomes a target, it ceases to be a good measure. Peter Drucker said if you can't measure it, you can't manage it — but the moment you tell the world what you're measuring, people optimize for the measurement instead of the outcome. This is the fundamental challenge of operational leadership: finding metrics that drive the right behavior without becoming gameable.
The Disposable Workforce Fallacy
Somewhere along the way, organizations started treating people like iPhone batteries — when something's wrong, replace it. But the 'fix the trouble, make a trouble, save a job' mentality exists because the system created it. When efficiency isn't rewarded, when 'it all pays the same,' the rational response is to stop trying. Operational excellence starts with recognizing that the system shapes the behavior.
From Manual Process to Intelligent Operation
The gap between visiting a website, hitting print screen, saving it in Paintbrush, logging it, and hitting go — versus having automation handle it in seconds — that gap is where operational excellence lives. But the barrier isn't technical. It's perceptual. People on a steady diet of operational painkillers can't feel the signals telling them something's wrong. The first step is getting off the painkillers.
Questions We Explore
- ▸How do I identify operational pain that my team has become numb to?
- ▸What's the right balance between measurement and trust?
- ▸How do I transition manual processes without disrupting current operations?
- ▸Where should AI augment human judgment vs. replace manual steps entirely?
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