AI For Leaders
A working session for senior leaders charged with making AI decisions for their business — not a technical deep-dive, but a structured introduction to what generative AI is, what it isn't, where the real opportunities sit, and how to deploy it responsibly in a risk-sensitive enterprise.
EXECUTIVE AI ENABLEMENT · WORKSHOP
AI Leaders Workshop
A practical introduction to generative AI for senior business leaders
A working session for senior leaders charged with making AI decisions for their business — not a technical deep-dive, but a structured introduction to what generative AI is, what it isn't, where the real opportunities sit, and how to deploy it responsibly in a risk-sensitive enterprise. Designed for VPs, directors, and senior leaders with decision authority over AI initiatives across their functions.
01 Business Context
Sets the strategic stage: AI's universal impact across functions, the realities of adoption (most pilots never reach production), the difference between generative AI and the broader AI landscape, and why business leadership — not IT alone — must drive the agenda.
02 Foundations of Large Language Models
Demystifies the technology underneath the products leaders are being asked to evaluate. Covers how LLMs actually work, what they remember and what they don't, training versus inference, and the fundamental difference between sounding confident and being accurate.
03 Organizational Readiness & Responsible AI
Examines readiness across the three dimensions that determine success — technology, processes, and people — and surveys the responsible-AI landscape: major regulations and frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act, plus sector-specific regulations), the risk categories leaders must manage, and how AI governance matures alongside adoption.
04 Technical Patterns & Applications
Surveys the spectrum of generative AI solution patterns — from chatbots and personal productivity through task automation, structuring unstructured data, embedded AI, and agentic systems — and walks leaders through the approaches behind them: prompt engineering, RAG, fine-tuning, and AI agents. Includes prompting best practices, common pitfalls, and when to escalate beyond prompting.
05 Identifying Use Cases & Next Steps
Equips leaders with practical tools for surfacing AI opportunities in their own functions: a use-case ideation template, the four-box value-vs-attainability prioritization framework, and a structured way of thinking about where AI investment will actually pay off.
Format & Customization
Half-day or full-day formats; in-person, discussion-led, with structured exercises. Industry context, regulatory framing, and example use cases are tailored to each client. Optional follow-on: post-session online modules, virtual office hours with the instructors, and a structured use-case ideation activity for participants to bring to their teams.