MAG OptiAI

AI features How-To

How to use AI Explain

Ask focused questions about generated results so MAG OptiAI can explain KPIs, charts, schedules, routes, model outputs, or document answers using visible output.

Guide details

Audience

AI feature users

Time

4 minutes

Category

AI features

What this guide covers

Ask focused questions about generated results so MAG OptiAI can explain KPIs, charts, schedules, routes, model outputs, or document answers using visible output.

Understand what AI Explain is for

Know when to use it

Open the AI Explain tab

Ask focused result questions

Review explanations against visible results

Avoid unsupported or overly broad questions

Use explanations to support decisions

Step by step

Follow the task path

Each step gives you the action, the reason it matters, and the visual state to look for before continuing.

1

Step 1

Open a completed result

Completed resultAfter run

Go to a scenario, model, solver, or analysis run that already has generated results. AI Explain works on results that are already available.

Completed CVRP result with AI Explain available after the run.
Use AI Explain after a run has generated KPIs, charts, tables, or output evidence.
2

Step 2

Ask about visible evidence

Ask about specific metrics, constraints, assignments, routes, anomalies, forecasts, risk drivers, or document evidence that is visible in the workspace.

AI Explain panel with prompt examples and a grounded production scheduling explanation.
3

Step 3

Keep questions bounded

Ask what changed, why a constraint matters, which records were flagged, or how to interpret a metric instead of asking for unsupported external facts.

Forecasting AI Explain panel showing bounded prompts tied to visible forecast evidence.
4

Step 4

Use the answer as review support

Treat AI Explain as a review assistant and verify important operational decisions against the visible result and exported data.

Fraud scoring AI Explain panel with an evidence-grounded result interpretation.

Tips

Good prompt: Explain why uncovered demand is lower in this result.
Good prompt: Which fraud scoring features are most important in this run?
Avoid asking for information that is not present in the workspace.

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Next

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