From the course: Generative AI for Business Leaders
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A phased approach to GenAI implementation
From the course: Generative AI for Business Leaders
A phased approach to GenAI implementation
Turning generative AI strategy into action requires a phased approach. If you try to do everything at once, you create confusion, risk, and fatigue. If you move too slowly, you lose momentum. So the goal is to move in clear stages. The first phase is assess. Start by understanding where AI can create value, where the organization is ready, and where the risks are. Look at business priorities, data readiness, technology, governance, skills, and culture. This gives you a realistic picture of where to begin. The second phase is prioritize. Choose a small number of use cases that matter. Look for opportunities with clear business value, practical feasibility, and manageable risks. Avoid spreading effort across too many pilots. The third phase is pilot. Run focused experiments with clear owners, clear measures, and clear guardrails. The purpose of a pilot is not to prove AI is exciting. It is to learn whether a use case can create value in the real business. The fourth phase is scale. When…
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