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Module 1 · Direction: find the decisionWed, Aug 2660 minshowcase
Direction review
Present the decision brief and readiness diagnosis. Receive questions that improve the use case before any build begins.
Faculty: Prof. Xiao-Li Meng · All faculty
Learning objectives
- ▸Present their readiness + vision to peers
- ▸Give and receive structured feedback
- ▸See varied organizational approaches
Key concepts
Presentation & peer feedbackReflection break handoff
Memorize this
🧠 Showcase🧠 Peer feedback
Your study flow
- 1. Read
Read the session guide above. Note the ideas that change how you see your organization's current AI question.
- 2. Test
Take the module quiz in Learn & Memorize to check understanding.
- 3. Drill
Run the spaced-repetition flashcards to lock in the terms from this module.
📝 Test this session
Flashcards for this module
- AGENTA methodology for planning and phasing AI initiatives: Audit (readiness), Gauge (challenges), Engineer (solutions), Navigate (governance & people), Track (measurement).
- The AI mandateThe 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 assessmentA scored evaluation of organizational capability across dimensions like data, talent, leadership sponsorship, operations, and culture: before committing to use cases.
- AI wintersPeriods 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 laborThe 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 mapA structured view of candidate AI use cases across the organization, scored on value and feasibility to identify quick wins vs strategic bets.
Build for Module 1: AI Readiness Assessment + AI Vision Statement