Work · Case study
Leadership team Ai training
Two practical programs that took a leadership team from occasional Ai use to a personal playbook for their own work.
At a glance
Client
The leadership team of a multi-department organization.
Format
Two programs, a foundations course and a next-step course on communication, delivered across four training days in 45-minute working sessions, all built around the Ai tools the organization had already approved.
Result
Every leader left with a personal Ai playbook for their own weekly tasks.
The situation
The leadership team wanted to spend less time on repetitive work, write better, and plan faster with Ai.
There was one firm rule: the training could only use tools already approved inside the organization’s existing software, to protect its data. Public Ai tools were off the table.
The approach
We built the training around the tools the team already had and the work they actually do.
The focus was everyday leadership productivity and better decisions, not technical deep dives, in sessions short enough to fit around a working day.
The programs
Foundations: everyday efficiency
Practical time-savers for routine work, how to structure a request, and what the tools can and can’t do.
Next step: communication and partnership
Writing and communicating with Ai as a partner rather than a one-off tool: giving it the right context, using it to test ideas, and checking its work.
What leaders learned to use
The context ladder
Three levels of detail, from a vague request to full context, and why the output is only as specific as the input.
A six-part request
Role, task, background, audience, format, and quality standards, also used to diagnose and fix weak results.
Ai as a challenger
Asking Ai to question assumptions, spot risks, and find blind spots before a plan goes forward.
Ai drafts, leaders verify
Recognizing confident mistakes and checking facts and policy before anything goes out.
Every participant finished by building a personal Ai playbook aimed at the tasks that take the most time in their week, so the training turned into daily practice rather than staying a one-time session.
My Ai playbook
Why it worked
Built on tools they already had. Nothing new to buy or get approved.
Their work, not generic examples. The skills applied the next morning.
Short, focused sessions. Forty-five minutes at a time fit around a working day.
Judgment stays with people. Ai drafts and challenges; leaders decide.
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