AI in Tableau Usage

Note: Starting October 2025, AI in Tableau no longer consumes Einstein Request credits for AI usage. Other services, such as Data Cloud services, can still consume other types of credits. For more information, see Einstein Request & Flex Credit Rate Card Updates FAQ(Link opens in a new window).

AI in Tableau Cloud is powered by Einstein Generative AI. To take full advantage of generative AI in Tableau and to get access to the Einstein Trust Layer, there are several steps you’ll complete in both your Salesforce org and in your Tableau Cloud site.

During your Salesforce org setup, you can turn on Einstein data collection and Storage (also known as Audit Trail) to store your Einstein generative AI audit and feedback data in Data Cloud. This optional feature lets you track the usage of generative AI in your Tableau sites and Salesforce org. If you turn on this feature, it consumes Data Cloud credits. The number of Data Cloud credits consumed varies based on the number of rows or records that are processed.

Data Cloud credits

Data Cloud credits aren't directly consumed by using AI in Tableau features. Instead, these credits are consumed by the Einstein Trust Layer, that AI in Tableau is built on top of, through a generative AI audit data feature known as Audit Trail.

Audit Trail lets your information security teams monitor the Einstein Trust Layer features, including pattern-based data masking and toxicity detection. This feature uses Data Cloud credits (allocated during the purchase of AI in Tableau), for ingestion, storage, and processing AI usage data.

Audit trail helps maintain the safety and accuracy of the generated AI responses. It stores the prompt and response for every LLM API call along with other audit data for a maximum of 30 days in your Salesforce Data Cloud instance. For more information about the types of data collected by the Generative AI Audit and Feedback feature, see Generative AI Audit and Feedback Data(Link opens in a new window) in Salesforce Help.

Data Cloud credits are consumed when Audit Trail ingests data during an LLM API call. 1 LLM API call ingests 24 rows of Audit Trail data into Data Cloud and uses the Batch Data Pipeline usage type.

Note: Data Cloud Credit consumption also comes from a pool of allotted credits. If you generate an Einstein Generative AI Audit and Feedback Data report, for example, it uses the Data Queries usage type and consumes Data Cloud credits. If you have other Salesforce Cloud features that consume Data Cloud credits, then this can also impact the available credits in your pool. For more information, see Data Cloud Billable Usage Types(Link opens in a new window) and Access Einstein Generative AI Audit and Feedback Data Reports and Dashboards(Link opens in a new window) in Salesforce Help.

To estimate the number of Data Cloud credits, see Data Cloud Multiplers(Link opens in a new window). For more information about usage types for audit and feedback, see Billing Considerations for Audit and Feedback(Link opens in a new window) in Salesforce Help.

You can also use Tableau to query Data Cloud and build visualizations of your AI audit and feedback data. For more information, see View Credit Consumption.

Billing considerations for AI in Tableau

Note: If you’re looking for details about AI usage in Tableau Next, see Billing Considerations for Tableau Next(Link opens in a new window) in the Salesforce Help Center.

AI in Tableau uses the following consumption usage types. To help you keep track of your usage, you can use Digital Wallet, a free account management tool in Salesforce Data Cloud that offers near real-time consumption data for enabled products.

You can see the total number of Data Cloud credits consumed as well as your remaining balance. You may also still see a balance for Einstein Requests in your Digital Wallet. However, Einstein Requests will no longer be consumed by AI in Tableau features effective October 2025.

Digital Wallet also offers pre-built dashboards showing the number of users, number of requests, and other details. You can also connect to the Digital Wallet tables in Data Cloud from Tableau and build visualizations for your consumption data. For more information, see View Credit Consumption.

Digital Wallet Card Usage Type Usage Type Description Notes
Data Services Batch Data Pipeline

Usage is calculated based on the number of rows batch data processed by Data Cloud data streams across all connectors, with the exception of structured data ingested via the Internal Data Pipeline.

Pipeline.

To learn more, see Billing Considerations for Audit and Feedback(Link opens in a new window) in Salesforce Help.

Audit and feedback data are ingested into Data Cloud data streams, and the usage is based on the amount of data ingested.

On average, each round trip to the large language model (LLM) and back results in 24 records being ingested into Data Cloud.

The volume of data ingested is the primary contributor to the consumption of credits among the three types of usage.

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