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- Release Notes Cloud Insights
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- Getting Started
- About Insights
- Prerequisites
- Building automations for Insights
- Insights Data Model
- Access and Permissions
- Enabling Insights
- Granting Permissions
- Adding Designer Users in Insights
- Notifications
- My notifications
- Interacting with Insights
- Overview
- Best practices for dashboard customizations
- Templates
- Attended Reporting
- Processes
- Processes (Embedded)
- Queues
- Queues (Embedded)
- Business ROI
- Business ROI Queues
- Robots and Machines
- Machines (Embedded)
- ROI Dataset
- ROI customizations and calculations
- Dashboards
- Cross-Tenant Reporting
- Custom Variables
- Alerts and Schedules
- Scheduled Deliveries and Alert Management
- Forecasting
- Insights for All
- Action Center Integration
- Overview
- Actions dashboards
- Actions template
- Action Center data model
- Automation Hub Integration
- Overview
- Enable Insights Connection
- Working With Automation Hub Dashboards
- Automation Hub Ideas
- Automation Hub Ageing Report
- Automation ROI Comparison
- Automation Hub Reusable Components
- Automation Hub Idea Applications
- Automation Hub Data Model
- Automation Hub Ideas and Idea Ageing
- Automation Hub ROI Data Model
- Autopilot integration
- Overview
- Autopilot
- Healing Agents integration
- Overview
- Healing Agent
- Healing Agents data model
- License monitoring integrations
- Overview
- AI units consumption overview
- [Preview] Autopilot Usage
- IxP AI Unit consumption dashboard
- User Licenses
- Process Mining AI Units consumption
- Robot Licenses
- Maestro Integration
- Overview
- Maestro
- Maestro data model
- Test Manager Integration
- Overview
- Enable reporting with Insights
- Working with Test Manager dashboards
- Test Manager Execution Report
- Test Manager data model
- Real-time Monitoring
- Real-time Monitoring Overview
- Real-time Processes
- Real-time Queues
- Real-time Machines
- Manage Alerts
- Real Time Data Export
- Configure Real Time Data Export
- Real Time Data Export Data Model
- Setting up Azure Event Hub
- Sending Data to Power BI
- Sending Data to Splunk
- Sending data to Elasticsearch
- Setting up AWS SQS
- Sending data to Splunk
- Sending data to Elasticsearch
- Licensing
- Insights licensing
- Troubleshooting
- Troubleshooting
Insights
Last updated Mar 9, 2026
Based on the actions performed in Process Mining, the dashboard offers a detailed view of the AI units consumption at tenant level. You can check how applications consume AI units, which applications consume the most AI units, and historical AI unit consumption trends.
Note: For more information on Insights
data retention, check the Data retention policy section.
You can filter the information from the dashboard based on the following:
- Date Range: allows you to select a specific time period for reviewing AI units usage.
- Application Name: allows you to select specific applications for reviewing AI units usage. Options for Application Name are linked to selected Date Range.
- Stage Type: allows you to
select a specific application stage for reviewing AI units usage:
- Dev
- Published
| Tile | Description |
|---|---|
| Total AI Units Consumed | Total AI units consumed by the filtered applications and stage types in the selected date range. |
| Weekly Consumption by Application | A chart depicting the AI units consumed by the filtered applications per week in the selected date range. |
| Consumption by Application | Consumed AI units, grouped by Process Mining application. The
information is displayed in the form of a table with additional
information:
|