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    AI Leadership

    From Pilots to Production: The Real AI Deployment Gap

    By Dr. Victoria Mensch••
    4 min read
    #AIDeployment
    #AILeadership
    #DigitalTransformation
    #ExecutiveEducation
    #AIStrategy
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    Dr. Victoria Mensch discussing AI deployment strategy — From Pilots to Production infographic

    In conversations with executive teams every week, the same question keeps coming up:

    "We've tried AI — now what?"

    Here's the reality.

    The Scale Gap Is Real

    According to McKinsey's 2025 AI survey, while 88% of companies use AI in at least one function, fewer than one-third have successfully scaled AI beyond pilots into real, enterprise-wide impact.

    That gap doesn't exist because the technology isn't powerful.

    It exists because most organizations lack the execution discipline, operating model, and leadership alignment required to move from experimentation to production.

    What Successful AI Deployment Actually Requires

    Successful AI deployment isn't about flashy demos. It's about:

    • Clear business ownership across functions
    • Strong data and governance foundations
    • Rigorous deployment frameworks
    • KPIs that tie AI directly to business outcomes

    AI doesn't fail in production — execution does.

    The Question Every Leader Should Ask

    What's the biggest roadblock your organization faces when moving AI from pilot to production?

    If the answer involves unclear ownership, missing governance, or lack of measurable outcomes — the issue isn't your AI strategy. It's your execution architecture.

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