AI Enablement for Managers

Your AI rollout depends on managers

 

Your people completed AI training. Your AI tools are deployed. Your completion rates look good. So why has no workflow actually changed?

The answer sits with your managers. They are the ones expected to decide where AI belongs in their team's work, redesign how that work gets done, review AI-assisted output, and hold the team together while roles shift. Most of them received the same general AI training everyone else got, which taught them to use the tools and nothing about leading the change.

 

We teach your managers how to redesign work for AI

In only 4 virtual live sessions, we teach your managers how to find and redesign actual workflows.

We build two capabilities, in sequence.

Knowing where AI fits. Managers map their team's real work and sort it: what AI should handle, what needs guardrails, and what AI should never touch. They leave with a marked-up inventory of their team's work and one use case worth pursuing.

Redesigning the workflow. Managers take one workflow, map the current state, decide where AI enters, identify the new work AI creates, and assign ownership. They leave with a redesigned workflow their team is running, and a before-and-after you can point to.

With practical exercises for every session, managers immediately apply what they learn, turning training into active, weekly workflow transformation

95% of HR leaders say middle managers are the most crucial factor in whether employees use AI effectively, and 92% say managers are crucial to redefining job roles as AI reshapes daily work.

Learn more about supporting managers in AI transformation

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LAB FOUNDER

I'm Nicolle Merrill

I'm your workforce strategy and development partner. Since 2023, I've taught 45,000+ professionals across 13 countries to work with AI, helped companies define emerging AI roles, coached teams through AI product development, and guided organizations through AI transformation.

Across that work, I kept seeing the same pattern: employees learn AI skills, experiment with the tools, and then the organization struggles to turn that learning into meaningful change.

The missing layer is management. Managers are the ones translating AI strategy into how work actually gets done. They’re expected to drive adoption, rethink workflows, set expectations, manage quality, and help employees navigate change, often without a clear playbook. 

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Tell us where your managers are stuck and we will tell you whether we can help.

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