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AI Decision Making

A 50-minute brief for managers and senior ICs — using AI as a decision input without quietly handing over the decision.

50 min·7 chapters·Manager · Director·Free

Last updated: 2026-05-19

What you'll learn

By the end of this course you'll be able to:

  • How to treat AI as a decision input — not a decision maker
  • The cognitive offloading risk that gets worse the better the model gets
  • When to override AI confidently — and how to know you’re right to do so
  • The 80/20 verification rule for AI-augmented decisions
  • Building team-level decision norms that survive turnover
  • Scenario planning with AI without losing your own judgment

Who this is for

Managers, directors, and senior individual contributors who already use AI in their decision workflow and want a disciplined approach to the cognitive risks. Especially valuable for leaders in GCC, India, and Africa where AI-augmented decisions land in contexts the model was rarely trained on.

Curriculum

7 chapters · 2 hands-on exercises · capstone challenge

Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.

1

1. AI as decision input vs. decision maker

7 min
  • Distinguish AI-as-input from AI-as-decider in your own workflow
  • Identify three decisions that should never be fully delegated to AI
2

2. The cognitive offloading risk

7 minQUIZ
  • Recognize the cognitive offloading pattern in yourself and your team
  • Apply two countermeasures from decision-science research
3

3. When to override AI confidently

7 minEXERCISE
  • Identify three signals that your domain judgment beats the model
  • Avoid the "the model said so" deference trap in regional contexts
4

4. The 80/20 verification rule

7 minQUIZ
  • Apply the 80/20 rule to verify the right 20% of AI-augmented decisions
  • Spot the decisions that need 100% verification, not 20%
5

5. Building team-level decision norms

7 min
  • Design team norms that survive AI tool churn and turnover
  • Avoid the "everyone uses AI differently" decision-quality drift
6

6. Scenario planning with AI

8 minEXERCISE
  • Use AI to expand scenario coverage without anchoring on it
  • Avoid the false-confidence trap of model-generated scenarios

Capstone: Capstone: Your AI-augmented decision charter

7 min
  • Draft a 1-page AI-augmented decision charter for your team
  • Define the decisions AI will inform — and the ones it won’t touch

Capstone deliverable: Every learner who completes this course produces «Your 1-Page AI Decision Charter» — a tangible artifact you take back to your organization.

Curriculum live · full chapter content rolling out through 2026.

The outline, learning objectives, references, and capstone deliverable are published. Full chapter content (video, narration, exercises) ships progressively. Get notified when each chapter goes live.

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References & sources

Built on cited sources — not vibes.

Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:

Thinking, Fast and Slow

Daniel Kahneman, Farrar, Straus and Giroux

NIST AI Risk Management Framework

NIST · Source link

MIT Sloan Management Review — AI at Work

MIT Sloan · Source link

McKinsey — The State of AI

McKinsey & Company · Source link

Course details

Track

Foundations

Level

Advanced

Audience

Manager, Director

Industry

Cross-Industry

Stack

Stack-agnostic

Paired Gennoor Way phase

diagnose, sustain

Format

video, reading