Configuration
Configure AI Model(s) in Predict4Dynamics
Go to Predict AI Models in the Predict4Dynamics app. Either create a new model record or select ready-to-use sample models.
Click Configure Model on the target model record. When prompted, start the configuration by clicking Start Configuration. This will queue the model configuration.

After starting the configuration, the model status will show Queued, and an AI Model Job record is created in the AI model jobs entity to track progress.


Monitor the AI Model Job record until the job shows Completed. Once the job completes, the Predict AI Model entity status will change to Ready, indicating the model is trained and available for predictions.

Triggering & Viewing Predictions (Example: Lead)
Navigate to the Lead entity (or any entity you configured to receive predictions). Create a new lead (or update the configured fields on an existing lead) — predictions will be triggered automatically if you configured the model to run on create/update events.
To view the prediction for the record, open the lead record and click the Predict4Dynamics side pane button (side pane action) — the prediction and explanation will be displayed.

Post-Deployment Checks & Tips
Verify the container app is running in the resource group you chose and that the managed application resources are created.
Confirm the Azure AI service (if auto-created) is present and the model is deployed.
If you used an existing resource group, double-check there were no conflicts and that the group was empty before deployment.
Ensure that chosen model tokens/quota in your subscription cover expected usage — adjust Azure quotas if necessary.
For any queries, reach out to us at [email protected]
Last updated
Was this helpful?