Leading an AI-Enabled Organization:

Opportunities, Technology, Risk

(February-November, 2026: Interactive Zoom course)

This course is for leaders using AI to transform organizations: changing what you do and how you do it. McKinsey estimates that 70% of companies will adopt at least one AI technology by 2030, yet Gartner reports that 85% of AI projects fail to deliver on their promises. Success depends not on technological prowess but on human choices: using AI to change what we do and how we do it.  

The Fifth Discipline Fieldbook series, which I co-authored with Peter Senge, established essential principles for organizational learning. AI adds a new dimension: it makes the tacit knowledge held in peoples’ heads concrete and holds up a mirror to our thinking. AI systems, when designed and managed in a proprietary setting, learn from the people using them. They evolve, so that when they act on their own, they can be trusted. To train and manage them this way, we must learn a more expansive form of leadership, where humans are not just in the loop, but partners with AI in launching new activities and redesigning the organization.  

This course doesn’t cover coding skills or data analytics. Instead, we explore the strategic power of algorithmic literacy—understanding how AI systems think, what they can and cannot do, how they interact with people, and how to handle the risks associated with them. We do all this in the context of your own challenges. Each month, you take another step in your own organization’s use of AI to grow. 

Each module is built around the issues you face today. We discuss how to maintain accountability, drawing on my training as an EU AI Act auditor to decode regulatory requirements into strategic opportunities. We focus on preparing your workforce for productivity and growth, without triggering paralysis or exodus. We show how to evolve your company into an augmented, superintelligent version of its former self. 

Each module consists of two 90-minute Zoom sessions, with an ongoing project involving your own organization, and personal consultation as needed.

Module 1: AI Concepts and Capabilities

Gain the strategic vocabulary to confidently lead AI initiatives, evaluate vendor claims, and articulate the value of your new approach to boards, investors, and teams. This module covers technologies that directly affect your bottom line: natural language processing, basic robotics, recommendation systems, and the difference between analytical and generative AI.  Connect tech capabilities to your own specific business outcomes and ROI metrics, and define your own AI-enabled competitive advantage.

Module 4: AI-Enabled Team Practices

Transform team productivity by implementing AI collaboration frameworks that amplify collective intelligence. Learn to design workflows that optimize human-AI partnership, enabling teams to routinely accomplish in hours what previously took weeks. Develop protocols that overcome resistance and immerse people in a new way of working that makes the most of their human talent.

Module 7: Designing an AI-Based Project

Expand your proof-of-concept into a prototype design: one designed to operate in the real world. Articulate its risk and potential return, building a business case to secure resources and stakeholder support. Identify the technological and human resources needed to bring it to life, and apply team learning and project design principles to raise your chances of success. 

Module 2: Mastering GenAI Interactions

Develop your skill with advanced prompt engineering techniques that extract reliable, actionable insight from GenAI systems. Deploy large language models for competitive intelligence, market analysis, and “what we’re missing.” Learn how to capture the 40-60% productivity gains that LLMs make possible. Build a team of adept AI users who collectively raise each others’ game in functions like sales and R&D.

Module 5: Data and Interactive Feedback

Establish data strategies that draw on your own distinctive knowledge and capabilities. Create continuous improvement loops through interactive feedback between your AI systems and your people. Take the first steps toward AI governance and measure the impact of your new practices. Combine all of this in a data strategy that improves performance by raising awareness of what you do every day.

Module 8: Assessing Impact

Design a system for measuring and communicating the impact and value of AI-enabled projects. Capture quantitative ROI, qualitative cultural impact and market advantage, and overall cost-effectiveness. Use GenAI to build dashboards and narratives that resonate with different stakeholders—from boards demanding financial returns to employees concerned about job security to everyone in the workflow.

Module 3: The AI Dilemma: Risks, Biases, and Misinformation

Learn how algorithmic errors and biases emerge and how to detect and mitigate them before they damage your reputation or bottom line. Establish verification protocols that protect your organization from hallucinations and misinformation. Build trust and competitive advantage through explainable AI practices that differentiate you from competitors and attract broader networks to you.

Module 6: Transparency and Accuracy

Bring together what you’ve learned so far into a proof-of-concept project that addresses challenges faced by your organization or rises to opportunities. Identify projects with optimal risk-reward profiles. Design your PoC with transparency – it demonstrates its purpose and the logic underlying its design – and accuracy. It can be trusted because its input data and outputs are reliable.

Module 9: Leading Change and Innovation

Learn to scale your AI transformation by addressing the unique challenges of organizations today. Design your role in digital platforms, and discern your growth opportunities. Create lasting competitive advantage through cultural changes that embrace AI as a capability multiplier, positioning your organization to thrive in an AI-dominated future.

Fees: 

  • Basic: 9 sessions and assignments only
    Billed monthly: $750/month
    Payment in advance: $5,000 ($1,750 savings)           

  • Professional: 9 sessions and assignments; responses during weekly office hours
    Billed monthly: $1,250/month
    Payment in advance: $9,000 ($2,250 savings)        

  • Premium: 9 sessions and assignments: individual coaching
    Billed monthly: $1,750/month
    Payment in advance: $12,500 ($3,250 savings)

  • Team of 3 or more: 9 sessions and assignments; dedicated team coaching
    Billed monthly: $900/month per team member
    Payment in advance: $6,000 ($2,100 savings) per team member

  • Consultants, coaches, and educators: Contact me for tailored arrangements

Interested?