OfflabelAI Executive Leadership
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Module 1 · Direction: find the decisionMon, Aug 1090 min

The decision in front of you

Locate the AI decision inside the organization's strategy, operating model, and customer promise. Define the executive question the course will develop.

Faculty: Prof. Xiao-Li Meng · DAIN Studios · Prof. Suraj Srinivasan

Learning objectives

  • ▸Explain why AI strategy is a leadership responsibility, not an IT one
  • ▸Frame AI as an efficiency AND revenue/innovation opportunity
  • ▸Identify the mandate a senior leader needs to drive AI
  • ▸Articulate a first-draft AI vision for their organization

Key concepts

AI as a business strategy leverEfficiency vs innovation framingThe AI mandateBoard-level AI accountability

Memorize this

🧠 AI mandate🧠 Strategy over technology🧠 Revenue, not just efficiency

Your study flow

  1. 1. Read

    Read the session guide above. Note the ideas that change how you see your organization's current AI question.

  2. 2. Test

    Take the module quiz in Learn & Memorize to check understanding.

  3. 3. Drill

    Run the spaced-repetition flashcards to lock in the terms from this module.

📝 Test this session

Question 1 of 6The executive decision

Why is AI a leadership question, not just an IT question?

Flashcards for this module

  • AGENT
    A methodology for planning and phasing AI initiatives: Audit (readiness), Gauge (challenges), Engineer (solutions), Navigate (governance & people), Track (measurement).
  • The AI mandate
    The formal or informal authority a senior leader holds to set AI strategy: earned by showing up with a defensible vision and a Playbook.
  • AI readiness assessment
    A scored evaluation of organizational capability across dimensions like data, talent, leadership sponsorship, operations, and culture: before committing to use cases.
  • AI winters
    Periods in AI history when hype outpaced capability and funding collapsed (1974 to 80, 1987 to 93). Lesson: separate durable capability from hype.
  • Human and AI division of labor
    The idea that AI reshapes tasks, not whole jobs: leaders should analyze work at the task level to see where humans and AI each add value.
  • Opportunity map
    A structured view of candidate AI use cases across the organization, scored on value and feasibility to identify quick wins vs strategic bets.
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