Question
The key metrics used in AI readiness levers are not explicitly mentioned in the content. However, based on general knowledge, these could include factors such as the level of AI investment, the use cases plotted against resistance and opportunity cost, the degree of customer behavior validation, and the adoption risk priced into every go-to-market milestone. These metrics help in assessing the readiness for AI implementation and its potential value capture.
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Customer behavior validates AI investment, and the chart plots use cases against resistance and opportunity cost. Low-friction features sit in the green zone, ready for scaling, while high-resistance bets hover in red, carrying steeper regulatory and reputational stakes. By embedding customer psychology alongside technical metrics in the same decision frame, the analysis merges market research with agile planning. That way, adoption risk is priced into every go-to-market milestone and AI readiness is ultimately validated where it matters: at the point of customer value capture.
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