Which BI tools can reproduce and audit AI answers?

Quoted from Databricks’s docsYour conversations are saved in threaded chat history. Each chat thread maintains context about previous questions.

Quoted from Snowflake’s docsFor that reason, Snowflake records the version and any alias used at invocation time for each turn instead of assigning one version to the whole thread.

Quoted from Omni’s docs Every tool call the AI made and its result — including the generated queries, the query results, and any data the AI sampled or retrieved

Quoted from Hex’s docsThe Overview provides a summary of the conversation, including the user’s intent, the agent’s assumptions, and details such as the user who created it, the model used, and the credits consumed.

Quoted from Sigma’s docsToggle between all conversations and agent conversations, or view details about a full conversation, including user input and AI output, user name, input and output tokens, total turns and duration of the conversation, model used and product that the conversation took place in.

Quoted from BigQuery’s docsResults from questions in a conversation persist even if the underlying data sources are deleted.

Quoted from Looker’s docs- Ask questions about and converse with your data by using Conversational Analytics: Gemini in Looker lets you ask questions about your data source by using natural language. Gemini returns Looker charts or data tables that are based on your query. You can learn more about how your response was generated and save your conversation for future reference. Querying Explores on the Conversations page is available when the Conversational Analytics (Conversations page) setting is enabled for your instance. Querying dashboards with a dashboard data agent is available when the Dashboard agents setting is enabled for your instance.

Quoted from Tableau’s docsIt 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 360 instance.

Quoted from Power BI’s docsExpand each reasoning step to understand how Copilot arrived at its answer, including the sequence of analysis steps, the generated DAX query, and the query results used to produce the response.

Quoted from Metabase’s docs- Conversation transcript: the full message-by-message exchange. Tool calls (search calls, query construction, etc.) are inlined. You can click "View" to open a modal with the info.

Quoted from Alteryx’s docsThe chat opens with its full history, and you can send a new message to continue.

Quoted from MotherDuck’s docsNot saved. Chats live in your browser tab only. Reloading or closing the tab clears them.

Quoted from Mode’s docsView History: The running history of each query execution, including the raw code (as written), rendered code (SQL sent to the database after processing all Liquid code), and any data that was returned.

Quoted from Redshift’s docsChoose Add to notebook to add a Markdown cell with your prompt and a SQL cell with the suggested SQL to your notebook.