Strategic leadership · Program
Guiding AI Adoption
Introduce AI through the work people actually do. Explore how to choose relevant use cases, set human review expectations and support a team as its workflows change.
Connect learning to your work
A practical place
to begin.
Help people make sense of a changing way of working
Introducing AI into a team raises questions that a tool demonstration alone cannot answer. People may be interested in what becomes easier, concerned about the quality of outputs or unsure what information they are allowed to use. This program helps leaders connect a practical adoption plan with clear expectations and a conversation about those concerns.
Start with the work rather than a list of features. Identify a task where assistance could be useful and describe the result the team needs. Ask what currently takes effort, where judgment is essential and which parts of the workflow must stay under human control. Invite people with different levels of experience to explain what support would help them participate.
Plan a bounded first use
Imagine a team considering AI assistance for drafting internal meeting summaries. In this illustrative example, the initial question is not simply whether the tool writes fluently. The team needs to decide which information may be entered, how an authorized tool is selected and who checks that decisions, names and responsibilities are represented accurately.
Practice defining a small trial using suitable sample information. Agree on review criteria before comparing results. A draft that looks polished may still omit an important qualification or invent a commitment. Make the person responsible for approving the final communication explicit, and describe how colleagues should report an unexpected result.
Support adoption through conversation
Explore how to explain the purpose and boundaries of the trial without promising that every task will improve. Discuss differing confidence levels and create room for questions. Leaders can model a careful attempt, acknowledge a limitation and share what was learned. Feedback should help refine the workflow rather than rank people by how enthusiastically they use a new tool.
Prepare a responsible next step
Outline the task, participants, information boundaries, review owner and evidence you want from a trial. Include a point at which the team will decide whether to continue, adjust or stop. This program addresses leadership and working practices; organization-specific security, procurement and data rules remain part of the context you bring. No particular AI subscription or software implementation is included through a website request.
Practices to develop
- Choose a first AI use case by examining the work, the information involved and the judgment required.
- Prepare a team discussion that recognizes differing levels of confidence and makes the purpose of a trial clear.
- Define who will review the output, what they will check and how an unexpected result should be reported.
Topics to explore
Your learning focus.
01Choose a use case
Compare tasks by purpose, information sensitivity and the need for judgment.
02Plan human oversight
Decide who reviews outputs and how limitations are communicated.
03Support adoption
Prepare a small rollout, gather feedback and revise working agreements.
Start where you are
Who it’s for.
Leaders and managers responsible for adopting AI in a team
Bring a workplace situation you want to approach differently. We can discuss your experience, priorities and the support that would be useful before agreeing on delivery.
Learning that fits your context
Explore your online options.
Ask about live online, self-paced or blended online learning. The available approach, content scope and schedule are agreed for your request.
Select a preference and optional participant count in your training request. You can also leave both open for discussion.
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