T1: Executive
Track: Executive
Agentic stack planes: Control
Enterprise planes: People & Leadership, Culture & Change, Governance & Risk, Strategy & Portfolio, Economics & ROI
Target Audience: Decision-makers and executives
Badge: Applied AI Executive
Meaning: Trusted AI decision-maker
Agentic plane colors match the AI Capabilities Stack (round dots on track cards).
Enterprise plane colors match the same diagram (square markers on track cards).
Who This Is For
- C-level executives and senior leaders
- Board members making AI investment decisions
- Public sector policy makers
- Procurement and risk management leaders
What You'll Learn
Core Capabilities
- AI Maturity Assessment - Understand where your organization stands
- Strategic Decision-Making - When to invest in AI, when to avoid it
- Risk & Governance - Navigate AI risks and regulatory requirements
- Value Realization - Connect AI investments to business outcomes
Key Focus Areas
- Policy and procurement frameworks
- Risk assessment and mitigation
- Public value and trust (for public sector)
- AI investment prioritization
Schedule
Duration: 4 weeks
Weeks: 1-4
Focus: Control plane - governance, procurement, and investment framing
Week 1: AI Reality Check
Bloom Level: Remember & Understand (primary), Apply (secondary)
Knowledge Dimension: Factual & Conceptual
Tool Mediation: Maturity and landscape assessment tools
- Ground truth on AI capabilities and limits in 2026 [Remember]
- Organizational readiness and hype vs production gap [Understand]
- When AI is and is not the right lever [Apply]
- Framing decisions for executives and boards [Apply]
Cognitive Integration: Establishes a shared reality baseline before strategy work - foundation for Judgment on where to invest attention.
Week 2: Trust & Governance
Bloom Level: Analyze (primary), Evaluate (secondary), Apply (foundation)
Knowledge Dimension: Conceptual & Procedural
Tool Mediation: Policy templates and risk frameworks
- Trust as a product of systems, not slogans [Understand]
- Governance outside the agent loop (control plane framing) [Analyze]
- Regulatory and reputational risk landscape [Evaluate]
- Accountability structures that scale [Apply]
Cognitive Integration: Connects governance to Governance and Judgment scoring dimensions explicitly.
Week 3: Build vs Buy
Bloom Level: Apply (primary), Analyze (secondary), Evaluate (foundation)
Knowledge Dimension: Procedural & Conceptual
Tool Mediation: Vendor evaluation and TCO models
- Build vs buy vs partner decision criteria [Analyze]
- Evaluating vendors and managed AI services [Apply]
- Data, lock-in, and exit strategy [Evaluate]
- Procurement patterns for enterprises and public sector [Apply]
Cognitive Integration: Applies frameworks to real sourcing decisions - Transfer across industries.
Week 4: Investment Strategy
Bloom Level: Create (primary), Evaluate (secondary), Analyze (foundation)
Knowledge Dimension: Procedural & Metacognitive
Tool Mediation: Portfolio and roadmap communication tools
- Portfolio prioritization and sequencing [Create]
- Investment thesis tied to measurable outcomes [Create]
- Stakeholder alignment and board narrative [Evaluate]
- Capstone: AI Investment Decision Framework [Create]
Cognitive Integration: Synthesizes the track into a single credentialed artifact demonstrating Judgment and Rigor.
Assessment: AI Investment Decision Framework
Track Learning Outcomes
Upon completing this track, you will be able to:
- Assess AI maturity - Evaluate your organization's current AI capabilities and identify gaps
- Make strategic decisions - Determine when AI investments are appropriate and when to avoid them
- Navigate regulatory landscape - Understand and comply with AI governance frameworks, PDPA, GDPR, and sector-specific regulations
- Prioritize AI investments - Connect AI initiatives to business value and strategic objectives
- Establish governance frameworks - Design policies, risk management processes, and accountability structures for AI initiatives
- Evaluate AI vendors and solutions - Assess technical capabilities, risks, and value propositions
- Communicate AI strategy - Articulate AI vision, risks, and value to stakeholders and board members
- Balance innovation with risk - Make informed tradeoffs between AI opportunities and organizational risk tolerance
Transfer & Judgment Capabilities
This track explicitly develops two critical capabilities:
Transfer Capability
Apply learning to novel situations and contexts
- Adapt AI maturity frameworks to different organizational contexts
- Transfer governance principles across industries and regulatory environments
- Generalize strategic decision-making frameworks to new scenarios
- Apply investment prioritization methods to diverse use cases
How it's developed: Through case studies, scenario exercises, and applying frameworks to your own organization's unique context.
Judgment Capability
Make sound decisions under uncertainty
- Exercise restraint in AI investment decisions
- Identify and defer unsuitable AI use cases
- Make principled tradeoffs between opportunity and risk
- Balance innovation with organizational risk tolerance
How it's developed: Through decision-making scenarios, "when NOT to use AI" exercises, risk-benefit analysis, and tradeoff evaluation frameworks.
Track Structure
This track contains multiple levels, each with specific learning outcomes. Progress through levels to build your capability as an AI decision-maker.
Level 1: Foundation (Weeks 1-4)
Bloom Focus: Remember & Understand (primary), Apply (secondary)
Knowledge Dimensions: Factual & Conceptual
Capability Target: Master core concepts and frameworks, understand relationships and principles
- AI maturity frameworks [Remember & Understand]
- Decision-making under uncertainty [Understand]
- Value and roadmap design [Apply]
- Governance foundations [Understand]
Learning Outcomes:
- Recalls relevant AI maturity frameworks and concepts
- Explains relationships between AI strategy, governance, and value
- Applies frameworks to assess organizational readiness
- Demonstrates foundational understanding of AI decision-making
Level 2: Application (Future)
Bloom Focus: Apply & Analyze (primary), Evaluate (secondary)
Knowledge Dimensions: Procedural & Conceptual
Capability Target: Apply knowledge systematically, analyze complex situations
- Advanced strategic analysis
- Complex decision-making scenarios
- Multi-stakeholder governance
- Risk-benefit evaluation
Level 3: Mastery (Future)
Bloom Focus: Evaluate & Create (primary), Analyze (foundation)
Knowledge Dimensions: Metacognitive & Procedural
Capability Target: Make expert judgments, create comprehensive frameworks
- Expert-level strategic judgment
- Creating custom governance frameworks
- Advanced tradeoff analysis
- Board-level communication and defense
Assessment
- Artifact: AI Investment Decision Framework
- Focus: Judgment, rigor, and governance dimensions
- Outcome: Ability to make informed AI investment decisions
Public Sector Emphasis
For public sector participants, this track emphasizes:
- Policy alignment
- Risk management
- Procurement transparency
- Public trust and accountability
Credential
Upon completion, earn the Applied AI Executive badge - demonstrating your capability as a trusted AI decision-maker.
Ready to get started? Get in touch to learn more or apply.
Next: T2: AI Product