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Module 3 · Stewardship: make it durableMon, Oct 590 min
From evidence to an operating plan
Convert the evidence into decisions about scope, funding, sequence, ownership, and review gates.
Faculty: Dirk Hofmann · Dr. Ulla Kruhse-Lehtonen
Learning objectives
- ▸Convert strategy into a funded program
- ▸Sequence initiatives into a roadmap
- ▸Design stage gates and funding
Key concepts
Strategy-to-program conversionImplementation roadmap anatomyStage gates & funding
Memorize this
🧠 Roadmap anatomy🧠 Stage gates🧠 Fund the sequence
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
Question 1 of 2Adoption as an operating capability
What is the first thing a strategy-to-implementation plan needs?
Flashcards for this module
- Risk registerA living table of AI risks: category, likelihood × impact scoring, owner, and mitigation. The core of a governance framework that survives audit.
- EU AI Act risk tiersUnacceptable (banned), High (strict obligations), Limited (transparency), Minimal. Classification depends on the use case and sector. Timeline enforced in phases.
- NIST AI RMFU.S. AI Risk Management Framework: govern, map, measure, manage. The free anchor reference for responsible AI governance.
- Bias assessmentSystematically checking an AI system's training data, design, and outputs for unfair outcomes across groups: before and after deployment.
- Consent modelDefines how and when people agree to their data being used by AI: required for trust and, in regulated contexts, compliance.
- Attribution problemProving how much of an outcome is caused by AI vs other factors. The hardest part of AI ROI: requires a baseline and control/cohort thinking.
Build for Module 3: Governance Framework + Implementation Roadmap