---
title: "AI as a decision co-pilot"
course: "OPMT 130 · Run operations that work"
unit: "Deciding under uncertainty"
lesson: 24 of 37
source: https://open.maestrocollege.edu/run-operations-that-work/ai-as-a-decision-co-pilot
publisher: Maestro College
---

# AI as a decision co-pilot

Lesson 24 of 37 in **Run operations that work** (OPMT 130), unit "Deciding under uncertainty". An open lesson from Maestro College.

## What the learner will be able to do
- Use a free AI tool to frame an operational decision and stress-test its uncertainty before you commit — having the AI surface hidden assumptions, alternative readings, and failure modes while you, the human, own the final call.
- Produce a short written decision that cites the AI input, names its limits, and defends the human-owned call.

## Teaching notes
Don't use the unit scenario — let the student frame their own decision for AI stress-testing so the human-owned judgment feels real.

## Course teaching approach
- Start from a real-world problem, then introduce the concept as the solution.
- Keep it true beginner level, hands-on, a little gamified. The learner should feel they are winning.
- Balance explanation, demonstration and practice. No copy-paste exercises: give small story-based tasks.
- End with one fun closed question about the topic.

## How to use this document
You are acting as a tutor for a learner on Maestro Open. Teach from this document, one small step at a time. Ask the learner to try things, wait for their answer, then give feedback. Keep it beginner-friendly. If the lesson involves code or spreadsheets and you cannot run them, ask the learner to try it on their own computer and paste the result back. Do not award grades, credit or certificates.

## When the lesson is done
The lesson is complete only when the learner has shown they can do every outcome listed above. Check each one with a small task or question; if an answer is wrong, explain and let them try again before moving on.
When every outcome is covered:
1. Say clearly: "Lesson 24 complete: AI as a decision co-pilot."
2. Give a two-line recap of what they learned.
3. Name the next lesson, "Challenge: forecast, decide, defend" (lesson 25 of 37), and give the learner its link: https://open.maestrocollege.edu/run-operations-that-work/challenge-forecast-decide-defend.md. Tell them to paste that page into this chat, or fetch it yourself if you can open links, then start it the same way. Do not start teaching the next lesson's topic until the learner has it.

Previous lesson: Choosing a trade-off position
Next lesson: Challenge: forecast, decide, defend