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Management & AI Adoption
Focused on AI literacy, use-case discovery, process and pain-point interviewing, use-case prioritization, and human oversight, to help managers drive responsible AI adoption in their department, extending into leading a real industry co-creation project and enterprise transformation.
8 courses · Estimated effort: 60 hours
Who this is for
- Managers and coordinators who need to evaluate AI adoption use cases for their department
- Transformation leads ready to carry a prioritized use case into a real industry co-creation project
Outcomes
- Understand AI’s capability limits, risks, and human-review methods
- Complete an AI Use Case Discovery Canvas, a Process & Pain Point Map, and a Use Case Portfolio
- Turn a candidate use case into a project charter, validate proof of value, and plan an enterprise transformation roadmap
Competencies developed
- AI Literacy
- Prompt & Context Design
- Verification & Evidence
- Responsible AI & Data Safety
- AI Application & Use-Case Design
- AI Task Judgment
- Instruction Design
- Context & Source Awareness
- Output Verification
- Human-AI-Human Workflow
- Responsible Use
- Task Framing
- Context Selection
- Execution Design
- Output Verification
- Human Oversight
- Use-Case Design
- Use Case Discovery
- Problem Framing (Not Solution)
- AI Use Case Pattern Matching
- User, Owner & Outcome Roles
- Measurable Desired Outcome
- Data Needs & Authorization Awareness
- Risk & Human Review Framing
- Process Discovery
- Neutral, Evidence-Probing Interview Questions
- Bounded Current-State Process Mapping
- Handoff Identification
- Decision Point Documentation
- Pain Point Taxonomy
- Root Cause as Hypothesis
- Observed vs. Estimated Baseline
- Evidence Confidence Assessment
- Pilot Design
- Value as Measurable Outcome
- Technical Feasibility Assessment
- Organizational Readiness Assessment
- Risk Visibility & Governance Escalation
- Evidence Confidence Assessment
- Portfolio Thinking
- Actionable Next Step, Owner & Review Date
- Industry AI Project Charter Design
- Industry AI PoV Prototype & Evaluation Design
- Enterprise AI Transformation Roadmap Design
Required before starting
None
Recommended before starting
- IL 301 · IL 301 | Enterprise AI Pilot & Adoption Lab
Course sequence
- 1.AI 101 Claude AI Workforce Fundamentals
- 2.AI101L AI Workforce Applied Lab: From Work Tasks to AI Use Cases
- 3.AD 101 AI Use Case Discovery
- 4.AD 102 Process & Pain Point Discovery
- 5.AD 103 AI Use Case Prioritization
- 6.IL 101 IL 101 | Industry AI Project & Value Design
- 7.IL 201 IL 201 | Industry AI Proof-of-Value Co-creation Lab
- 8.IL 302 IL 302 | Enterprise AI Transformation, Scale & Value Realization
Next step
AI 101 · Claude AI Workforce Fundamentals