Executive AI Literacy Program

Why Executive AI Literacy is Not Optional

The biggest accelerator — and the biggest blocker — of AI transformation in any organization is the executive team.

Executives who understand AI make better investment decisions, set clearer mandates, govern AI risk appropriately, and create the organizational conditions where transformation can succeed. Executives who don't tend to either over-invest in tools without strategy or under-invest based on unfounded skepticism.

This program closes that gap.

What the Program Covers

AI Fundamentals for Leaders. What AI can and cannot do, with current capabilities and realistic limitations. This is not a technology course — it is a decision-making framework.

Evaluating AI Opportunities. How to assess AI proposals and vendor pitches. What questions to ask. How to distinguish meaningful AI from marketing noise. How to evaluate the ROI of AI investments.

Governing AI Risk. The risk categories executives need to govern: accuracy and reliability, bias and fairness, privacy and data, regulatory compliance, vendor dependency, and reputational risk. How to build governance frameworks without impeding progress.

Leading AI-Driven Change. How to communicate AI transformation to employees, investors, and the public. How to manage resistance. How to build organizational cultures that embrace AI rather than tolerate it.

AI Strategy in Your Sector. Sector-specific content on AI applications, competitive dynamics, and regulatory requirements in your industry.

Format and Delivery

The program is delivered in three half-day facilitated sessions over 2-3 weeks. Small groups of 8-15 participants. Discussion-heavy format — this is not a lecture series. Executives learn best through structured discussion with peers, not by watching presentations.

We customize every session with case studies and examples from your specific sector and organizational context. Government executives work through public sector AI scenarios. Healthcare executives examine clinical AI governance questions. Financial services executives discuss model risk and regulatory implications.

Session Structure

Session 1: AI Landscape and Opportunity Assessment. What AI is today — capabilities, limitations, and the gap between vendor claims and operational reality. Hands-on exercise: evaluating three real AI vendor proposals using a structured assessment framework.

Session 2: Risk Governance and Decision Framework. The risk categories executives must govern: accuracy, bias, privacy, regulatory compliance, vendor dependency, workforce impact, and reputation. Building a governance framework that enables responsible innovation without creating bureaucratic paralysis.

Session 3: Leading Transformation. How to set the conditions for successful AI transformation: mandate clarity, sponsorship depth, resource allocation, change management, and communication strategy. Building the business case that gets funded, and the organizational plan that actually delivers.

The Executive Gap Problem

In most organizations, there is a dangerous gap between the AI decisions executives are making and the AI knowledge they have to make those decisions well.

Executives approve budgets based on vendor demonstrations that may not reflect realistic performance in their environment. They set AI mandates without understanding the organizational prerequisites for success. They govern AI risk without understanding the specific risk categories that AI introduces. And they make workforce commitments — "AI will not replace anyone" or "AI will save us 30% in headcount" — without the knowledge base to make either claim responsibly.

This gap leads to two common failure modes: over-investment in AI technology without addressing the organizational conditions for success, or paralysis — waiting for "more certainty" about AI before making any move, while competitors and peers advance.

The Executive AI Literacy Program closes this gap — giving leaders the knowledge and frameworks to make AI decisions with confidence and govern AI deployment with competence.

Who Participates

The program is designed for C-suite executives, VPs, ADMs/DGs in government, board members, and senior leaders who approve AI investments, set AI strategy, or govern AI risk. Technical background is not required — the program is designed for leaders whose expertise is in their business domain, not in technology.

How We Deliver the Executive AI Literacy Program

Pre-Program Assessment. Before the first session, participants complete a 15-minute confidential AI knowledge and attitude survey. This survey identifies the knowledge gaps, concerns, and misconceptions most prevalent in your specific leadership group — and shapes the session content accordingly. A leadership group with strong skepticism about AI ROI needs a different emphasis than one that is enthusiastically over-buying AI tools without governance.

Session Design and Customization. We customize every program with sector-specific case studies, regulatory content relevant to your industry, and AI scenarios drawn from your organization's actual strategic context. Government executives work through scenarios involving the Treasury Board Directive and ATIP implications. Healthcare executives examine clinical AI governance questions relevant to their patient population. Financial services executives review model risk management scenarios under OSFI guidance.

Facilitated Sessions. Three half-day sessions are delivered in a facilitated discussion format — not a lecture. Participants bring their current AI questions and challenges into the room. The facilitator guides structured discussion that builds knowledge through application to real situations, not through passive receipt of information. This format is specifically chosen because executives learn through structured peer discussion, not through slide decks.

Post-Program Resources and Follow-Up. Participants receive a digital resource package: the AI decision framework used in Session 1, the risk governance checklist from Session 2, and a curated reading list for ongoing learning. A 90-minute optional follow-up call 30 days after the final session is available for any participant who wants to discuss specific AI decisions they are currently facing.

What to Expect: Timeline and Milestones

Week 1: Program Preparation. Pre-program survey distribution, results analysis, and session customization. Scheduling of three half-day sessions across Weeks 2–4.

Week 2: Session 1 — AI Landscape and Opportunity Assessment. Current AI capabilities, realistic limitations, and hands-on vendor proposal evaluation exercise. Duration: 3.5 hours.

Week 3: Session 2 — Risk Governance and Decision Framework. Risk categories, governance framework design, and regulatory obligations in your sector. Duration: 3.5 hours.

Week 4: Session 3 — Leading Transformation. Organizational conditions for AI success, business case development, and communication strategy. Duration: 3.5 hours.

Week 7 (Optional): Follow-Up Consultation. 90-minute open consultation for ongoing AI decisions. Available to all participants.

Intensive one-day formats compress Sessions 1–3 into a single full-day program. This format is suitable for executive offsites or board retreats where scheduling three separate half-days is impractical.

Integration and Technology Stack

The Executive AI Literacy Program is not a technical training program — it intentionally does not focus on tools and platforms. However, we do ensure executives understand the landscape of the technologies their organizations are deploying, at the level of governance and oversight:

• Foundation Models: What executives need to understand about OpenAI GPT-4o, Anthropic Claude, Google Gemini, and Microsoft Copilot — not how they work technically, but what the governance, risk, and vendor dependency implications are for their organization
• AI in Enterprise Platforms: How AI is being embedded in Microsoft 365 Copilot, Salesforce Einstein, ServiceNow, and SAP — and what governance oversight is required when AI capabilities are activated in platforms already in use
• Procurement Evaluation: A structured framework for evaluating AI vendor proposals — the questions executives should require answered before authorizing any AI procurement
• AI Governance Tools: Awareness of emerging AI governance frameworks (ISO/IEC 42001, NIST AI RMF) and how they apply to Canadian organizations, without requiring technical depth

Executives leave with the ability to govern AI competently, not to build it — and the judgment to know which questions to ask of the technical teams who do.

Canadian Context

The Canadian regulatory environment for AI is evolving rapidly, and executives in Canada face a specific set of obligations that the program addresses directly. Bill C-27 (Artificial Intelligence and Data Act / AIDA), once passed, will establish mandatory transparency, impact assessment, and accountability requirements for high-impact AI systems — and executives will be personally responsible for organizational compliance. PIPEDA already requires that automated decisions significantly affecting individuals be disclosed and explainable on request — an obligation many organizations are currently out of compliance with. Federal government executives must understand the Treasury Board Directive on Automated Decision-Making, which establishes binding requirements for AI used in administrative decisions affecting Canadians, including impact level assessments and mandatory human oversight thresholds. For OSFI-regulated financial institutions, the expectation that AI used in material decisions is subject to model risk management governance — with executive accountability — is already established in Guideline E-23. Healthcare executives must navigate PHIPA (Ontario), PIPA (Alberta and BC), and equivalent provincial health information legislation governing AI systems that process patient data. The Official Languages Act implications for bilingual AI deployments are relevant for any federal institution or organization with OLA obligations. We address all of these in the sector-specific session content.

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Related reading:

• What Every Canadian Executive Needs to Know About Bill C-27 and AI
• The AI Governance Gap: Why Most Organizations Are Behind and What to Do
• How to Evaluate an AI Vendor Proposal Without Technical Expertise