This unit introduces a performance-first approach to adopting AI in business leadership and strategy, translating high-level potential into measurable pilot initiatives. Students examine what makes a performance-focused adoption process distinct from traditional implementations and prepare prioritized plans for subsequent pilot development.
Learning Objectives
- Analyze current business processes and performance gaps to identify at least three specific opportunities where AI can measurably improve outcomes, citing relevant metrics.
- Apply a simple adoption framework to prioritize AI initiatives by feasibility, expected value, required data, and implementation risk to produce a ranked opportunity list.
- Demonstrate creation of an AI value hypothesis and pilot plan that includes success criteria, key stakeholders, data requirements, and a 6–12 week timeline for an initial test.
- Evaluate how a performance-focused AI adoption approach differs from conventional IT or project adoption methods by comparing governance, change management, scalability, and measurement practices.
Curriculum
- 1 Section
- 2 Lessons
- 30 hours
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- Unit 1 — From AI Potential to Performance2
Instructor
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