AI Strategy For Business Leaders

Business leaders are being asked to make consequential decisions about AI: how much to invest and where, what to govern and how tightly, and how to position the organization as the technology reshapes industry after industry. Most have had to build their understanding on the fly, from headlines, vendor pitches, and internal pilots and experiments.

This course is designed to provide a proper foundation and frameworks for unifying that information, and driving future decisions. Over two days, we will build a working model of what modern AI can and cannot do, survey the empirical evidence on AI in the enterprise, and work through where and how AI enters a business, what it is currently doing to team structure and industry dynamics, what to expect going forward, and how to govern it. Rather than teaching individual AI tools such as ChatGPT, Claude, Gemini, etc., this course stays at the organizational level: policy, capital, structure, and strategy. Through interactive instruction, real-world examples, and structured exercises, you will build understanding that applies immediately to key stakeholder conversations, long-range strategic planning, and the AI challenges facing your organization today.

For leaders who are setting posture and policy for their organization, our one-day workshop, AI at the Executive Level, is built for exactly that.

Participants will develop and refine their strategic judgment:

• Distinguish substantive AI capabilities from hype
• Determine the right entry points for AI in your business and how to assess their impact
• Set organizational AI policy on data, privacy, distribution, and AI hosting
• Assess AI's effects on team structure and organizational design
• Anticipate the labor market, competitive, and operational implications of AI in your industry
• Design measurement and incentive frameworks that capture real value, recognizing the risks of inaction and uncritical adoption alike