Mid-Level, Senior
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.
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.
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.
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.
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