Step 1
Open a completed result
Go to a scenario, model, solver, or analysis run that already has generated results. AI Explain works on results that are already available.

AI features How-To
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
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
Each step gives you the action, the reason it matters, and the visual state to look for before continuing.
Step 1
Go to a scenario, model, solver, or analysis run that already has generated results. AI Explain works on results that are already available.

Step 2
Ask about specific metrics, constraints, assignments, routes, anomalies, forecasts, risk drivers, or document evidence that is visible in the workspace.

Step 3
Ask what changed, why a constraint matters, which records were flagged, or how to interpret a metric instead of asking for unsupported external facts.

Step 4
Treat AI Explain as a review assistant and verify important operational decisions against the visible result and exported data.

Tips
Related links
Continue with nearby tasks in the same category.
Set up your scenario with guided assistance. MAG OptiAI helps you understand required inputs, configuration choices, and setup rules before running the model.
Generate a short summary of the current result or output so you can quickly understand key findings, risks, and next steps.
Create an alternative scenario, solve it, and compare the result against the baseline before deciding which plan is stronger.
Next
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