AI for Business LeadersAI Adoption for Business Leaders — Turn GenAI Experiments into Measurable Business Adoption
Instructor
David Betzold
Reviews
Course Overview
This practical, non-technical course helps business leaders move from scattered AI experiments to routine, measurable use. You will diagnose where AI adoption stands in your area, identify and prioritise measurable use cases, and set out ownership, guardrails and success measures.
You will then design a pilot that can scale and bring everything together in an AI Adoption Roadmap that you can take to your sponsor.
Level: Beginner
Who it’s for: Executives, department heads, transformation leaders, business managers
Pacing: Self-paced: about 8–16 hours including exercises.
What You'll Learn?
- Diagnose where AI adoption stands and identify the root causes behind stalled or uneven adoption
- Assess readiness across people, process, data and technology using evidence and confidence levels
- Discover and prioritise measurable AI use cases by impact, effort, risk and evidence
- Define practical success measures and baselines for selected use cases
- Clarify adoption ownership, use-case ownership, decision rights, governance and responsible-use guardrails
- Design a pilot, a 30-60-90-day implementation plan, and a people, skills and communication plan
- Assemble a 13-section AI Adoption Roadmap with a leadership adoption view, risks and dependencies, a sponsor ask, and a sustaining-adoption review rhythm
- Executives, department heads, transformation leaders and business managers
- No technical background needed
- Some awareness of generative AI assistants is helpful, but you do not need to use one to complete the exercises.
- A real team or business unit to apply the exercises to
Course Content
- Module 0: Welcome and Orientation
- Module 1: From Your Starting Plan to a Diagnosis
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Module 2: Assessing Adoption Readiness
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Readiness across people, process, data and technology
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Finding where AI is already used
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Running the readiness assessment
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Worksheet: your readiness scorecard
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Lesson 7 Check — Readiness across people, process, data and technology
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Lesson 8 Check — Finding where AI is already used
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Lesson 9 Check — Running the readiness assessment
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Lesson 10 Check — Worksheet: your readiness scorecard
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Module 2 Review — Assessing Adoption Readiness
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Module 3: Finding Measurable Use Cases
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Value-first thinking
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Running a use-case discovery session
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Prioritising by impact, effort and risk
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Defining success measures and baselines
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Lesson 11 Check — Value-first thinking
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Lesson 12 Check — Running a use-case discovery session
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Lesson 13 Check — Prioritising by impact, effort and risk
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Lesson 14 Check — Defining success measures and baselines
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Module 3 Review — Finding Measurable Use Cases
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804 — Mid-Course Progress Check
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Module 4: Ownership, Governance and Responsible Use
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Who owns AI adoption
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Lightweight governance and a responsible-use policy
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Building a leadership adoption view
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Privacy, confidentiality and information handling
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Accuracy, bias and human oversight
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Lesson 15 Check — Who owns AI adoption
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Lesson 16 Check — Lightweight governance and a responsible-use policy
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Lesson 17 Check — Building a leadership adoption view
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Lesson 18 Check — Privacy, confidentiality and information handling
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Lesson 6 Check — Accuracy, bias and human oversight
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Module 4 Review — Ownership, Governance and Responsible Use
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Module 5: Building Your Adoption Roadmap
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Designing pilots that can scale
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From use case to a 30-60-90-day plan
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Bringing people along
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Capstone: your adoption roadmap
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Lesson 20 Check — Designing pilots that can scale
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Lesson 19 Check — From use case to a 30-60-90-day plan
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Lesson 21 Check — Bringing people along
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Lesson 22 Check — Capstone: your adoption roadmap
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Module 5 Review — Building Your Adoption Roadmap
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- Module 6: Wrap-up and Next Steps