1. Train senior leaders and employees

• Deliver practical, business-oriented sessions on Generative AI, LLMs, assistants and agents.
• Explain where AI creates value, where it does not, and how to think about human-in-the-loop workflows.
• Cover agent design, knowledge/context, data, tools, limitations, prompting/instruction design and Responsible AI.
• Use examples that are relevant to business functions rather than purely technical demonstrations.

2. Shape real business opportunities

• Work 1:1 or in small groups with ELT members and employees.
• Understand the current process, pain points, users, value opportunity and success criteria.
• Assess whether AI is appropriate and where it can meaningfully improve the outcome.
• Define the assistant/agent concept: purpose, workflow, outputs, knowledge/data, human involvement and guardrails.

3. Help create first prototypes

• Support participants in turning shaped concepts into working prototypes using approved enterprise AI tools.
• Help structure instructions, knowledge, workflow, inputs/outputs, testing and iteration.
• Identify when additional technical, security or Responsible AI expertise is required.

4. Build internal capability

• Create reusable examples, templates and practical learning materials.
• Coach internal AI Senseis / champions and help them become more self-sufficient.
• Run office hours, clinics or group shaping sessions.
• Help successful use cases become reusable patterns for the wider organization.