AI at Scale is designed for leaders and executives responsible for shaping their organization’s AI strategy and driving a sustainable, enterprise-wide AI transformation:

• C-suite executives and business unit leaders: Perfect for CEOs, COOs, CFOs and divisional heads leading enterprise-wide AI initiatives that deliver measurable impact.
• Senior managers and transformation officers: A great fit for roles like vice presidents of strategy, chief transformation officers and directors of innovation who are leading scalable AI adoption and governance.
• Technology and operations leaders: Tailored for CTOs, CIOs, heads of IT and operations directors looking for practical, actionable strategies to address infrastructure and execution challenges.
• Investors and strategy consultants: Designed for venture capitalists, private equity advisors and strategy consultants focused on evaluating and shaping AI-driven transformation to gain competitive advantage.

• Drive enterprise-wide transformation: Discover strategies to align AI initiatives with your organizational strategy, creating sustainable competitive advantages and lasting impact.
• Build the foundation for scaling AI: Develop the essential data systems and infrastructure needed to drive transformation and create value across the enterprise.
• Overcome AI implementation challenges: Gain practical strategies for addressing complex issues like change management, regulatory compliance and operational consistency when scaling AI initiatives.
• Leverage agentic AI for agility and productivity: Utilize agent-based AI technologies to streamline workflows and increase efficiency across business functions.
• Access proven proprietary frameworks: Gain hands-on knowledge of proprietary frameworks from Kellogg faculty, like the AI Canvas 2.0, the AI Radar 2.0, and the AI Capability Maturity Model.

Day 1: Strategic Foundations for AI at Scale

• Session 1: Vision and Blueprint for AI Transformation
  Learn how to create an enterprise-wide AI vision and develop a roadmap to scale AI across functions.
• Session 2: AI Platforms Essentials
  Explore the evolution of AI, from its origins to its current state. Gain insights into frameworks for building robust data infrastructure, governance models and essential practices for scaling AI.
• Session 3: Case Studies in AI Scaling and Transformation
  Real-world examples of how leading organizations have successfully scaled AI and overcome common pitfalls.

Day 2: Hands-On Execution and Playbooks

• Session 1: Executional Playbooks for P&L Transformation with AI
  Learn practical strategies for moving AI from pilot projects to full-scale production, ensuring consistent deployment across departments.
• Session 2: Practical Applications of Agentic AI
  Discover how agent-based AI can enhance agility, automate workflows and boost productivity in real-time environments.
• Session 3: Building policy-based AI
  Learn to optimize AI tools with executive classification engines, reasoning principles and interventional dashboards that support AI-driven decision-making at scale.

Day 3: Governance, Compliance, and Organizational Change

• Session 1: AI Governance, Risk, and Compliance Workshop
  Build frameworks for board governance and explore best practices for managing AI’s impact responsibly.
• Session 2: Leading Change and Organizational Transformation
  Understand change management strategies that ensure broad organizational support and adaptability for sustainable success.
• Session 3: Fireside Chat with Industry Leaders and Wrap-Up
  Gain insights from a panel of industry leaders on the long-term impacts of scaling AI and strategies for continued transformation.

Action Lab:  Building Twins, Agents, and Advanced Prompts

• Build your digital twin: Learn how to create a digital twin for a C-suite persona, manage behavioral deviations and reason through scaled AI frameworks.
• Develop an RFP for scalable AI: Gain hands-on experience by creating an RFP for a scalable AI CxO replacement use case, including stakeholder research, insights and a vendor vetting process.
• Learn to create with Replit: Understand how easy it is to “code” your own AI application, and if desired, launch your product.
• Launch your own AI customer service agent: Use tools from our start-up partner to launch an AI customer service agent with its own unique personality.

Mohanbir Sawhney - Academic Director; Associate Dean for Digital Innovation; McCormick Foundation Chair of Technology; Clinical Professor of Marketing; Director of the Center for Research in Technology and Innovation

Birju Shah - Academic Director; Clinical Professor of Product Management, Analytics, and AI; x-Head of Product for Uber AI; x-Head of Digital Yield Products at Monsanto; x-CPO/CTO of Redesign Health