April 4, 2025
This playbook equips executive teams with the strategic frames, practical experience, and governance tools needed to lead AI adoption in just two half-days, with execution reinforced over 90 days.

Stephen
Director of International Markets
Why this matters
Organizations do not shift strategy because of technology alone. They shift when leaders change the way they see the world. In our work with more than 450 public-sector executives, we have seen that when senior teams adopt new mental models, organizations move faster and with greater alignment. This playbook distills that experience into a practical format that boards and executive leadership teams can apply immediately.
The program at a glance
Executive time is scarce. That is why the program is designed for efficiency: two half-days, or one focused full-day intensive. The initial session is followed by structured 30-, 60-, and 90-day execution clinics to ensure ideas do not fade into theory.
Cohorts are intentionally cross-functional, mixing technology, risk, legal, and P&L leaders. The diversity of perspectives accelerates alignment and helps participants surface both opportunities and constraints early.
Curriculum template
Strategic Frames. Leaders begin by exploring where AI really moves the P&L. Generative models open new value pools in content, customer interaction, and design, while predictive models continue to transform forecasting and risk management. The discussion grounds opportunity in economic reality rather than hype.
Hands-On Lab. Strategy sticks when it is experienced. Participants work with sandboxed data to build a live use case—such as a retrieval-augmented app, a forecasting model, or a simple agent. Governance guardrails are applied from the start. By comparing results to a manual baseline, leaders see both the upside and the operational trade-offs firsthand.
Operating Model & Controls. The lab work sets the stage for deeper conversations about organization design, funding models, vendor selection, and the human-in-the-loop patterns that make AI adoption sustainable.
Risk & Regulation Primer. Leaders receive a concise overview of the policies and requirements that matter most: data privacy, model risk management, and transparency obligations across key jurisdictions. This session is built for decision makers, not compliance specialists—what boards need to know, in plain language.
Change Leadership. Finally, participants focus on how to turn insight into execution. They work through communication scripts, incentive structures, and KPI design to drive adoption across their organizations.
Executive outputs
By the end of the program, each executive team leaves with:
A 90-day AI plan containing three to five funded bets.
A policy starter pack for responsible AI use within their context.
A scorecard that integrates business metrics, model performance, and risk indicators for quarterly review.
How to use this playbook
This is not an academic seminar. It is a repeatable template for leadership development that can be rolled out at the board or ELT level. By compressing the essentials into a pragmatic format, it respects executive time while ensuring that the organization develops the strategic fluency, practical confidence, and governance discipline required to lead in the AI era.