OfflabelAI Executive Leadership
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Module 1 · Direction: find the decisionMon, Aug 1760 min

Readiness as an operating diagnosis

Assess the conditions that shape an AI decision: data, skills, sponsorship, workflow, trust, and control. Use AGENT as the course map.

Faculty: Dirk Hofmann · Dr. Ulla Kruhse-Lehtonen

Learning objectives

  • ▸Score organizational AI readiness across key dimensions
  • ▸Explain the five phases of the AGENT method
  • ▸Map readiness gaps to an AI action plan
  • ▸Use a common framework language with their teams

Key concepts

AI readiness assessmentThe AGENT method: Audit · Gauge · Engineer · Navigate · TrackReadiness gap analysisPhased AI planning

Memorize this

🧠 AGENT: Audit Gauge Engineer Navigate Track🧠 Readiness gaps🧠 Phased planning

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 5AGENT as a decision path

What does the A in AGENT stand for?

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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