---
title: "AI for KPI monitoring"
course: "OPMT 130 · Run operations that work"
unit: "Improving the system"
lesson: 31 of 37
source: https://open.maestrocollege.edu/run-operations-that-work/ai-for-kpi-monitoring
publisher: Maestro College
---

# AI for KPI monitoring

Lesson 31 of 37 in **Run operations that work** (OPMT 130), unit "Improving the system". An open lesson from Maestro College.

## What the learner will be able to do
- Use a free AI tool to monitor a small-business KPI trend and flag where to look first — having the AI propose candidate anomalies or drift in the numbers, then investigating root cause yourself rather than acting on the AI's flag blindly.
- Critique the AI's suggestions and choose which to pursue in a PDCA-style next loop.

## Teaching notes
Use the Tasklane scenario — feed a ticket-volume or first-response-time KPI trend into a real free AI chat tool and probe its proposed anomalies.

## 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 31 complete: AI for KPI monitoring."
2. Give a two-line recap of what they learned.
3. Name the next lesson, "Challenge: run a full improvement loop" (lesson 32 of 37), and give the learner its link: https://open.maestrocollege.edu/run-operations-that-work/challenge-run-a-full-improvement-loop.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: Improvement loops with KPIs
Next lesson: Challenge: run a full improvement loop