The Adaptive Challenge Undermining Your AI Transformation
Why most AI efforts fail—and what leaders can do about it
Nearly 95% of enterprise AI pilots fail to deliver measurable business value.
The technology itself isn’t broken—in fact, it’s often more powerful than leaders realize. The real issue is how organizations frame the challenge.
Most executives treat AI as a technical problem: buy the software, build the infrastructure, hire the experts. But AI isn’t a plug-and-play tool—it reshapes jobs, rewrites workflows, and redefines how decisions get made. That makes AI transformation an adaptive challenge, one that demands cultural shifts, new ways of working, and leaders who can navigate uncertainty.
This guide introduces a human-centric approach to AI transformation, along with the Human-Centric AI Maturity Model, a practical framework to help leaders assess where they are today and build the adaptive capacity to succeed.
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What you'll learn:
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Why technology alone won’t deliver results without adaptive capacity
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How fear, rigid systems, and outdated workflows undermine AI efforts
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The difference between technical vs. adaptive challenges—and why it matters
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A practical framework for aligning systems, governance, and culture
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Case examples of where organizations get stuck—and how to get unstuck
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The Human-Centric AI Maturity Model: a tool for diagnosing gaps and guiding transformation
Who is this for?
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Executives & Leadership Teams driving AI adoption
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Investors & Boards seeking to de-risk technology investments
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Transformation Leaders leading digital change
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Private Equity Partners integrating or turning around companies
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Consultants & Advisors supporting leaders on AI readiness and culture shift
AI transformation is not about plugging in a tool—it’s about building the adaptive capacity to use it wisely.
Organizations that align technology with culture and leadership don’t just implement AI—they unlock its full potential to create resilience, speed, and lasting value.