AIPTDEst. 1995
Workshop · Strategic AI

AI at the Executive Level

Every organization already has an AI posture, whether it was chosen deliberately or incidentally. Learn how to set the right policy for your organization, the side effects that come with each choice, and the pitfalls other organizations have already encountered.


Every organization already has an AI posture, whether it was chosen deliberately or incidentally. Having no formal policy, or choosing not to adopt AI at all, is as much a posture as a 'tokenmaxxing' one. Setting the right policy for your organization, and understanding the side effects of that choice, is an essential responsibility of leadership today. This course is designed to help you understand how AI adoption is actually happening, the surfaces where it is likely coming into contact with your organization, the pros and cons of each path, and the common pitfalls organizations have encountered. Rather than training on any particular tool, the course stays with the decisions leadership actually owns: policy, budget, organizational design, and accountability for results.

For the deeper foundation behind these decisions (the evidence and economics of AI in the enterprise, on a multi-year horizon), our six-session course, AI Strategy For Business Leaders, covers that ground.


Participants will develop the judgment leaders need to:

  • Read where AI is already entering your organization, and understand how it is changing the competitive landscape
  • Set AI policy on data, access, and acceptable use
  • Weigh build vs. buy vs. partner, and understand seat-vs-token economics
  • Anticipate AI's effects on team structure, spans of control, and the talent pipeline
  • Plan for proper ROI and adoption metrics that avoid measurement traps that reward the wrong behavior
  • Set norms and culture for successful AI adoption

Topic Outline

Six Modules

Delivered as a one-day program

Module 01Posture

Posture & Exposure

  • AI is impacting the workplace, the question is how your organization is responding from awareness to policy to proactivity
  • Understanding and scaling good AI adoption, while eliminating pitfalls
  • Mapping out AI from the hidden paths such as 3rd-party tool adoption to direct procurement and integration into the core business
Module 02Signal

Hype vs. Reality

  • Building an understanding of contemporary AI capability, from the jagged frontier of model skills to the lengthening tasks AI can complete on its own
  • Learning to predict changes in model capabilities and how to plan ahead for the capability curve
  • Why most AI pilots stall before production, and what the ones that deliver do differently
  • Where advantage comes from when everyone has access to the same models
  • Success stories worth learning from, and cautionary tales from organizations that moved too fast or too slow
Module 03Policy

Policy, Governance & Trust Boundaries

  • Setting policy on data, access, and acceptable use
  • Deciding which choices stay with the executive team, and which get delegated to technology, legal, and HR
  • Choosing how much autonomy to grant AI systems, where a human stays in the loop, and the risk appetite that choice expresses
Module 04Organization

Organizational Design

  • Anticipating what AI adoption does to team structure and spans of control, and assigning ownership of AI in the organization
  • Rethinking hiring plans and junior roles as entry-level work changes
  • Addressing fear, trust, and role change candidly
  • Setting norms through what gets rewarded, what gets tolerated, and what employees read from leadership's own behavior
Module 05Economics

Economics & Accountability

  • Weighing build vs. buy vs. partner under a moving target, including the BloombergGPT lesson and the risk that the next model release strands this year's spend
  • Judging vendor viability, from circular deals to whether the AI economy itself is financially real
  • Knowing what to ask of your technology and finance leaders to reveal whether a program is on track
  • Choosing ROI metrics that avoid measurement traps, and recognizing that output quality is limited by whoever checks the work
Module 06Capstone

Developing Your AI Posture

  • Designing your posture, policy, ownership, and metrics
  • Applying the frameworks to draft your own organization's AI posture
  • Preparing for the conversations that carry the plan to your stakeholders

Upcoming Sessions

Cohort 01Live online

September 24, 2026

Schedule
9:00 AM – 4:00 PM PST
Tuition
US$2,400
Instructors
Adam Keppler
Cohort 02Live online

November 12, 2026

Schedule
9:00 AM – 4:00 PM PST
Tuition
US$2,400
Instructors
Adam Keppler

Programs can be customized for your organization. Delivered on-site, in-person, live-online, or asynchronously as a course library.
Inquire About Custom Solutions