Rethinking leadership, decision-making, and organizational performance in an era of increasingly autonomous AI.
Agentic AI is changing how organizations operate, make decisions, and create business value. Moving beyond traditional AI chatbots, agentic systems can plan, coordinate, and execute complex tasks with varying degrees of autonomy. For business leaders, the challenge is determining where agentic AI creates value, which responsibilities to delegate, and how to preserve human judgment, accountability, and trust.
This two-day, applied program equips professionals with the knowledge and practical frameworks to determine when agents are appropriate, what responsibilities and access they should receive, and how their introduction may affect people and work. You will explore real-world business applications, understand how AI agents interact with people and technology, and gain hands-on experience building an agentic workflow through a guided, beginner-friendly lab. No prior technical experience is required.
Rather than focusing on a single technology platform, Leading with Agentic AI develops transferable capabilities for evaluating organizational readiness, establishing appropriate autonomy and oversight, and navigating governance challenges. An applied playbook integrates these considerations through a workplace use case focused on feasibility, oversight, governance, communication, and organizational impact.
Sample Schedule
While subject to change, the following schedule gives participants an idea of what to expect in this program.
Agentic AI and the Human-AI Division of Work – Explore what agentic AI is, how it differs from other AI tools, and how organizations are beginning to use it to complete complex work. Consider whether an agentic initiative creates value or introduces new problems by examining how to divide work between people and AI agents while preserving human judgment, expertise, and relationships.
Understanding Agentic Systems: What Leaders Need to Know Part I – Build the understanding needed to ask better questions and make informed decisions about whether and how to develop an agentic system through an accessible introduction to its core components and a live demonstration. Examine how goals, tools, information, planning, memory, and human oversight shape its capabilities, limitations, performance, and risks.
Understanding Agentic Systems: What Leaders Need to Know Part II – Using a browser-based visual builder, create and test an introductory agentic workflow, explore how changes to prompts and inputs affect results, and consider workplace applications. The session emphasizes concepts and design decisions that transfer across agentic AI tools and platforms.
Managing the People Side of Agentic AI Adoption – Introducing agentic AI can reshape employees’ roles, responsibilities, authority, and overall experience of work. Explore how stakeholders may be affected, how they can contribute to evaluating an initiative, and how to communicate a proposed pilot clearly.
Evaluating Proposed AI-Enabled Workflows – Assess the playbooks developed after Day 1 to determine whether the proposed agentic AI use case is valuable, feasible, and appropriate using a practical framework addressing task suitability, potential failures, and implementation requirements. Present the draft playbook for structured peer review and use the resulting feedback to establish conditions for a limited pilot.
Responsible, Ethical Governance of Agentic AI – Examine how organizations can govern agentic AI with transparency, safety, and accountability. Drawing on recent cases, legal and industry norms, and ethical considerations, evaluate potential policies and apply appropriate safeguards, oversight structures, and accountability measures to the proposed initiative.
Planning an Organizational Pilot – Move from prototype development to planning a limited organizational pilot. Drawing on testing results, peer feedback, and governance insights, define the pilot’s scope, human oversight, safeguards, and success measures while identifying the evidence needed to expand, revise, or stop the initiative.
Key Takeaways
- Understand how agentic AI systems work, including how goals, information, tools, and other agents complete agentic workflows.
- Evaluate where agentic AI can create value and recognize when a less autonomous approach may be more appropriate.
- Determine which responsibilities should remain human-led, become AI-assisted, or be delegated to agents—and what information, tools, and authority agents should receive.
- Anticipate how agentic AI may affect workflows, roles, stakeholders, and organizational trust.
- Develop an implementation playbook that addresses the value, feasibility, governance, stakeholder communication, and next steps for an agentic AI workplace use case.
Who Should Attend
- Professionals evaluating or beginning to deploy AI-enabled systems in their organizations.
- Leaders familiar with agentic AI who want to develop a more intentional and effective implementation strategy.
- Business and functional leaders identifying opportunities for AI agents and designing how work should be divided between people and AI.
- Professionals responsible for advancing agentic AI use cases while addressing business value, governance, stakeholder needs, and organizational impact.
- No prior technical experience is required.
- Individuals interested in pursuing their Certificate in Executive Leadership + AI.
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