HBC Digital Academy
AI for Government & Executive Leaders
A one-day executive program for leaders who need to make sound decisions about AI without becoming data scientists, prompt engineers, or enthusiastic collectors of vendor demos.
- Format
- 1 day
- Audience
- Senior leaders
- Style
- Executive + applied
- Delivery
- Private cohort
Purpose
Purpose
Help senior government and enterprise leaders understand where AI can create value, where it introduces risk, and what leadership must decide about governance, accountability, operating models and implementation.
The program does not teach coding, model development or prompt tricks. It is designed around executive judgment, institutional value, risk, governance and implementation decisions.
Who should attend
- Ministers, deputy ministers and senior public officials
- Board members, CEOs and executive leadership teams
- CIOs, CTOs, CISOs and digital-transformation leaders
- Policy, strategy and institutional reform leaders
- Leaders sponsoring AI programs or major technology investments
- Organizations preparing an AI strategy or governance model
What participants should leave with
| Outcome | Practical result |
|---|---|
| AI literacy for leaders | Understand what current AI can and cannot reasonably do. |
| Use-case judgment | Distinguish valuable AI applications from fashionable but weak ones. |
| Governance clarity | Know which decisions, controls and accountabilities leadership must define. |
| Human oversight framework | Recognize when 'human in the loop' is meaningful and when it is ceremonial. |
| Implementation perspective | Understand data, capability, operating-model and vendor dependencies. |
| 90-day leadership agenda | Identify the immediate decisions and actions appropriate for the institution. |
Agenda
From AI awareness to leadership decisions.
| Module | Time | Focus |
|---|---|---|
| AI without the mythology | 09:00–09:30 | What changed, what matters, and what leaders do not need to become. |
| Where AI creates value | 09:30–10:30 | Use-case patterns across government and enterprise; value vs feasibility. |
| Strategy before tools | 10:45–11:45 | Problem → Data → Decision Rights → Accountability → Operating Model. |
| AI decision support vs decision-making | 11:45–12:30 | Risk, automation bias, meaningful human control and high-impact decisions. |
| Governance & accountability | 13:30–14:30 | Roles, policies, risk tiers, auditability, escalation and appeal. |
| Data, architecture & vendors | 14:30–15:15 | Readiness, dependency, procurement questions and avoiding technology lock-in. |
| Executive case exercise | 15:30–16:15 | Apply the framework to a realistic institutional AI decision. |
| Leadership action agenda | 16:15–17:00 | Priorities, decisions, 90-day actions and next-step ownership. |
Core frameworks
AI value test
Problem, value, feasibility, risk
Decision model
Data, decision rights, accountability
Human control
Authority, understanding, information, competence, time
Risk classification
Low, moderate, high, unacceptable
Operating model
Where AI sits and who owns outcomes
90-day agenda
Decide, prepare, pilot, govern, measure
Applied exercise
The executive case
Participants work through one realistic AI decision, for example benefits eligibility, fraud detection, citizen services, recruitment, healthcare administration, or enterprise risk. The exercise forces trade-offs between value, accuracy, accountability, human oversight and implementation readiness.
Participant materials
- Executive program workbook and key frameworks
- AI opportunity / risk canvas
- Meaningful human oversight checklist
- Leadership questions for AI vendors and internal teams
- 90-day institutional action template
- HBC Digital certificate of completion
Customization options
- Government leadership edition: public value, citizen services, policy and high-impact decisions
- Board / CEO edition: investment, risk, governance and enterprise operating model
- Sector-specific case study and use-case portfolio
- AI governance deep dive for legal, risk, cyber and technology leaders
- Follow-on half-day leadership workshop to convert learning into institutional decisions
- Extended 2-day edition where the client wants applied work on its own AI strategy
The program should leave leaders more capable of saying both 'yes' and 'no' to AI proposals. If participants leave merely more excited about AI, the program has not done enough.
Design a program around your institution.
We can start with a flagship program or design a private Academy pathway around your leadership priorities, teams, maturity level and transformation agenda.