---
title: "AI-supported process analysis"
course: "OPMT 130 · Run operations that work"
unit: "Seeing flow and constraints"
lesson: 15 of 37
source: https://open.maestrocollege.edu/run-operations-that-work/ai-supported-process-analysis
publisher: Maestro College
---

# AI-supported process analysis

Lesson 15 of 37 in **Run operations that work** (OPMT 130), unit "Seeing flow and constraints". An open lesson from Maestro College.

## What the learner will be able to do
- Use a free AI tool to critique a process map or workflow you have already produced — feeding the artifact in and reading the AI's suggested flow issues or bottleneck candidates.
- Use a triage grid to sort the AI's suggestions (accept, verify, or reject) against what you actually observed, and decide which to trust.

## Teaching notes
Use the Bite scenario — feed the process map the learner built earlier in the unit into a real free AI chat tool by pasting the Mermaid code as text (there is no file or screenshot upload, so do not ask the learner to upload an image). Have the AI surface flow issues or bottleneck candidates, then use a triage grid to accept, verify, or reject each suggestion against what was actually observed.

## 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 15 complete: AI-supported process analysis."
2. Give a two-line recap of what they learned.
3. Name the next lesson, "Challenge: map flow, find the bottleneck, fix it" (lesson 16 of 37), and give the learner its link: https://open.maestrocollege.edu/run-operations-that-work/challenge-map-flow-find-the-bottleneck-fix-it.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: Layout and service design
Next lesson: Challenge: map flow, find the bottleneck, fix it