From the course: Generative AI for Business Leaders
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Moving from pilot projects to enterprise-scale impact
From the course: Generative AI for Business Leaders
Moving from pilot projects to enterprise-scale impact
Many organizations have now experimented with generative AI. They have run pilots, tested tools, launched small projects, and encouraged teams to explore what AI can do. That is useful, but pilots are only valuable if they teach you something that helps the business move forward. The real challenge is moving from experimentation to enterprise scale impact. This is where many organizations get stuck. They have too many isolated pilots, unclear ownership, weak business cases, poor data foundations and no consistent way to measure value. So how do you avoid pilot purgatory? First, start with business outcomes. Every Gen. AI initiative should be connected to a clear goal. Are you trying to reduce costs, increase revenue, improve customer experience, reduce risk, speed up decisions, or build new capability? Second, choose a use case that can scale. A pilot might work well for one team, but can it be used across a function, a region, or the whole organization? Does it connect to the systems…
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