Driving AI Adoption Through a Human-Centric Roadmap

This solution brief outlines a roadmap for driving AI adoption with a focus on human-centric change management. It begins by identifying the challenge of AI adoption, noting that while a majority of CEOs prioritize AI, success often stalls when the emphasis is solely on business cases rather than the people using the technology. The document presents core principles for leading change, including clarifying roles, decision boundaries, and defining partnerships between human tasks and technology. It describes three phases of AI adoption: preparation, execution, and optimization. The preparation phase emphasizes building trust and readiness, aligning AI strategy with business challenges, and recruiting champions. The execution phase focuses on delivering quick wins, integrating workflows, and driving AI literacy. Finally, the optimization phase discusses measuring adoption through behavioral metrics and maintaining ethical oversight. The brief concludes with resources for ongoing AI strategy development and community engagement.