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- Introduction
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields (previously entities)
- Labels (predictions, confidence levels, hierarchy, etc.)
- Models
- Streams
- Model Rating
- Projects
- Precision
- Recall
- Annotated and unannotated messages
- Extraction Fields
- Sources
- Taxonomies
- Training
- True and false positive and negative predictions
- Validation
- Messages
- Access Control and Administration
- Manage sources and datasets
- Understanding the data structure and permissions
- Create or delete a data source in the GUI
- Uploading a CSV file into a source
- Preparing data for .CSV upload
- Create a new dataset
- Multilingual sources and datasets
- Enabling sentiment on a dataset
- Amend dataset settings
- Delete messages via the UI
- Delete a dataset
- Export a dataset
- Using Exchange Integrations
- Model training and maintenance
- Understanding labels, general fields, and metadata
- Label hierarchy and best practices
- Analytics vs. automation use cases
- Turning your objectives into labels
- Overview of the model training process
- Generative Annotation (NEW)
- Dastaset status
- Model training and annotating best practice
- Training with label sentiment analysis enabled
- Understanding data requirements
- Train
- Introduction to Refine
- Precision and recall explained
- Precision and recall
- How does Validation work?
- Understanding and improving model performance
- Why might a label have low average precision?
- Training using Check label and Missed label
- Training using Teach label (Refine)
- Training using Search (Refine)
- Understanding and increasing coverage
- Improving Balance and using Rebalance
- When to stop training your model
- Using general fields
- Generative extraction
- Using analytics and monitoring
- Automations and Communications Mining
- Licensing information
- Enabling Communications Mining™ as a service
- FAQs and more
Enabling Communications Mining™ as a service
Important :
Communications Mining is now part of UiPath IXP. Check the User Guide Introduction for more details.

Communications Mining User Guide
Last updated May 12, 2025
Enabling Communications Mining™ as a service
You can enable Communications Mining as a service, in Automation Cloud, if you meet the following prerequisites:
- You have an Enterprise Automation Cloud license.
- Your Automation Cloud organization has available AI units (i.e. >0).
Note:
- If you do not currently have an Enterprise licence, contact your account manager for available Enterprise trials.
- If you have an Enterprise license, but no AI units available, contact your account manager to purchase some.
The AI Units section in the Consumables tab, from the Licenses page, displays the consumption entitlement (AI Units).
Go to the Automation Cloud navigation menu, then Admin:
The following table is a summary of all steps required for you to gain access to Communications Mining via Automation Cloud.
# | Task | Responsible Role(s) |
1 | Gain access to the platform via Automation Cloud. | Org Admin on Automation Cloud |
2 | Enable Communications Mining as a service on an Automation Cloud tenant. | All users that require access |
3 | Optionally, create a project in Communications Mining. | Org Admin on Automation Cloud |
4 | Optionally, add applicable users to that project, and specify their permissions. | Org Admin on Automation Cloud |
Once you complete these steps, an admin can add the data source(s), create the dataset in Communications Mining. Then, you can start training your model.