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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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Anticipating the Gain
When a company adopts AI, results often stay flat or dip before the gains arrive, a pattern economists call the productivity J-curve. Knowing it exists helps you anticipate what to expect in the first year with AI adoption.
When Will We See Benefits of AI?
When will we see the benefits of AI? It is one of the first questions an owner asks. The answer depends on what you are trying to achieve and how much you invest to get there.
Start With the Decision, Not the Tool
Most AI projects start with a tool and then look for a use. Four questions help you start with the decision instead, before you spend on software.
Why Most AI Rollouts Stall
AI projects often stall because of how people work. Before blaming the software, ask your team what’s getting in the way.
We Don’t Know What’s Possible or What It Would Cost. Where Do We Start?
We Don’t Know What’s Possible or What It Would Cost. Where Do We Start?
The Highest Opportunities for ROI Are Often Hidden
Every owner I talk to feels some version of the same pressure. Competitors are talking about AI. Customers are asking about it. Somebody at a conference described a result that sounds impressive. The worry that the business is falling behind is real.
Measuring AI Performance
Most AI reporting measures activity. How many people have licenses, how many prompts were run, how many documents were processed. Activity is easy to count and it tells you almost nothing about whether the AI budget you’ve allocated is working. There is a better measure. What does it cost us to produce one successful outcome?