AI Adoption:
Turning AI Strategy Into Sustainable Practice
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AI adoption isn’t just a technology rollout. Nor is it just a training initiative. It’s a change initiative.
This adoption framework helps organizations visualize an approach that moves beyond one-off training sessions to a scalable, repeatable system for responsible AI adoption across teams.
Built for enterprise and mid-market environments, the model empowers AI Champions embedded in each business unit with the knowledge, tools, and support to drive localized adoption without overwhelming L&D or technical teams.
Whether your organization is just beginning its AI journey or already experimenting with use cases, this framework ensures your organization can scale effectively, align with business goals, and reinforce change over time.
What to Account For
Behavioral change and adoption: Anchors rollout in a structured change management framework (using Prosci ADKAR) to support awareness, skill-building, and sustained behavior change over time.
Team and role context: Tailors learning paths and adoption strategies to fit specific workflows, readiness levels, and use cases across business units.
Champion-driven enablement: Leverages internal influencers by equipping them to coach peers, share practical examples, and localize AI use responsibly.
In-the-flow reinforcement: Incorporates just-in-time support through tools like prompt libraries, coaching aids, and scenario-based practice, not just one-time training.
Who It’s For
Operations, IT, and Business Unit leaders seeking structured AI adoption throughout the organization
People leaders and L&D teams supporting digital transformation
HR and Enablement leaders tasked with skilling up a distributed workforce