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Tableau AI Assistant
A native extension for conversational analytics

Ask your Tableau dashboards in plain English — with full transparency, native RLS, and your own LLM key
Tableau AI Assistant conversational interface inside a Tableau dashboard — user asks a natural language question and receives a data-driven answer.
Dashboards were there, but many business questions still ended up in analysts' inboxes.
A few years ago, we started noticing the same pattern across almost every Tableau team we worked with.

Someone in the business needed a number — a simple one, like “what were sales last month?” or “which region is down?”

They’d email a BI analyst. The analyst would stop what they were doing, pull the data, and send it back.
Two days later, the business had the answer.
And the analyst had lost half a week to work that wasn’t really analysis.It wasn’t anyone’s fault. It was just the way things worked. Dashboards were there, but many business questions still ended up in analysts' inboxes.

We kept thinking:
What if people could simply ask the dashboard?
That question stayed with us. It’s what eventually led to Tableau AI Assistant.

What it is

Tableau AI Assistant is a dashboard extension that connects your Tableau environment to a large language model of your choice.

It supports Tableau Server 2025.1+ and Tableau Cloud.

You ask a question. The extension identifies the data needed, queries Tableau on your behalf, and returns an answer — directly inside your dashboard interface.

Unlike many AI tools, it was built around three principles from day one.
Events mode in Tableau AI Assistant — full transparency showing the exact VizQL query, returned data, LLM prompt, and raw model response.

We built the extension so enterprise teams can use AI in their environment without hesitation

Earlier in 2026, while we were building the extension, Tableau announced its own AI agent. For us, it was a signal: conversational analytics is becoming part of the BI ecosystem.

We approached it differently — focusing on the dashboard as a whole, so users can ask questions across multiple visualizations, filters, and metrics in a single conversation.
We've already seen the product tested in one of the environments where trust matters most: banking.

A major bank independently evaluated the assistant, focusing on answer reliability and access controls. After completing their review, the team approved an internal rollout.

What it can do

  • Natural language queries

    Ask questions like:"Which regions showed a margin drop over 5% last quarter?"and get answers grounded in your Tableau data.
  • Conversational follow-ups

    The assistant remembers context within a session, so you can continue exploring without repeating yourself.
  • Answers grounded in Tableau data

    Answers are based on data retrieved from Tableau, helping users stay anchored to the metrics and business context behind each dashboard.
  • Full-dashboard scope

    Unlike tools limited to a single worksheet, Tableau AI Assistant works across the entire dashboard.
How to start?

Tableau AI Assistant is free to download. You bring your own LLM key — Claude, Deepseek, or others. No vendor lock-in. No hidden costs.
We built this because we wanted a tool we could actually trust. Maybe you do too.

Want to see how this works on your dashboards?

Let‘s walk through your setup — no commitment, just a conversation.

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