Big ideas, real impact
Like what you read here? Practical insights for business owners on where AI can create value, how to improve the way work gets done, and how leaders and employees can shape and sustain change.
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Test the Person and the AI Together
Compare people working alone, AI working alone and people using AI in real workflows to identify which approach delivers the best results.
Where Did the Saved Hours Go?
Ask your people whether AI saves them time and most will say yes. Ask where that time went and the answers get vague. The time is real, but unless someone decides what it is for, it gets absorbed back into the day.
Work Redesign Is a Practice, Not a Project
A one-time redesign around AI soon goes out of date. A simple standing review, backed by proven process methods, keeps the gains building.
AI’s Four Jobs
“Should we use AI here?” is a big question with many related factors, often making it hard to answer. A more useful question is what job AI would do at this particular step.
The Value of Knowing Your Business
Most owners assume the hard part of adopting AI is choosing the technology. It usually is not. The models, and the platforms used to build AI assistants, are widely available, and your competitors can buy the same ones you can. What cannot be bought is knowing your own operations well enough to point AI at the right problem.
AI Belongs in the Workflow
Here is a pattern to consider. A company buys AI licenses, runs training, and a few months later usage has quietly dropped by everyone except a handful of enthusiasts. The tool worked. People used it during the pilot. Then it faded.
The Human-in-the-Loop Trap
Here is a test. If you left for a week starting tomorrow, would the AI-assisted work in your business keep moving, or would it quietly pile up waiting for your approval?
Will This AI Do What I Need?
Most proposed AI solutions describe what the system will do. Fewer describe the business activities that will interact with the AI solution being suggested. That disconnect is usually the difference between a proposal that works and one that simply doesn’t meet expectations.