So what's the problem?

You have the data. You have the questions. So why are you still waiting for answers?

  • For Business

    Analysts are overloaded with requests. Executives wait days for answers.
  • For Teams

    Employees don't know how to use Tableau. They need simple answers, not dashboards.
  • For IT

    You want to give your team an AI assistant, but official solutions are tied to a single vendor and lack flexibility.
How do you make analytics available to everyone, train AI on your own data, and keep it fully flexible?
our solution

Tableau Web UI AI Assistant

An enterprise-grade AI assistant for Tableau that works inside your infrastructure and is available to the whole team through chat. We achieved this by bringing together three powerful components:

Web UI

Intuitive interface accessible to everyone on your team

LLM

Choose from Claude, GPT, Llama, Mistral, or any model you prefer

Tableau MCP

Seamless, flexible integration with your data and Tableau Server

What are these components?

You don't need to be an LLM expert, buy hardware, or wait for weeks. We handle the setup, training, and ongoing support.

How your workflow transforms

What your team gets out of it
Why choose our Tableau AI Assistant over standard Tableau MCP?
The official Salesforce solution is locked exclusively to Einstein.

With us, you get:
  • Complete data flexibility — connect the way you need
  • On‑premise deployment for ultimate security
  • Granular admin controls (per‑department models, token management)
  • The freedom to use any LLM you prefer
We start with a pilot

Start

Connect Tableau API
Setup
Set up access permissions. Train the AI on your specific metrics, KPIs, and business terminology
Testing
Test with real queries from your team
Results
Gather performance metrics and user feedback

What you get after the pilot

  • Metrics Report

    We'll calculate how many hours your employees have stopped spending on routine requests to analysts.

    You'll see:
    • Number of questions processed
    • Average response time (before vs. after)
    • Which departments are using AI most actively
    • ROI assessment of the pilot project
  • AI Trained on Your Data

    We'll fine-tune the AI so that it:
    • Knows what an "active customer" means in your company
    • Understands which metrics to count and which to ignore
    • Navigates your data structure with ease
    • Uses your terminology when generating responses
  • Team Access via a Simple Chat Interface

    The entire team works in a single window.

    You get:
    • A functional web interface accessible to everyone you grant access to
    • A single entry point for the whole team
    • Full history of all queries and responses
    • The ability to upload documents and ask questions about them
  • Scalability Roadmap

    We'll prepare a plan to scale the pilot across your entire organization, including:

    • Which departments to onboard first
    • Which models are best suited for different use cases
    • What administrative settings will be required
    • Infrastructure load estimates
    • Recommendations for future development (RAG integration, new MCP servers)
    You receive a clear path from pilot to enterprise‑grade production.
  • Data Quality Audit

    The platform becomes a diagnostic tool that reveals:

    • Which metrics are calculated incorrectly or inconsistently across departments
    • Where data structure is broken
    • What data is missing but needed to answer key questions
    • Prioritized recommendations for improving data governance
  • Flexible Configuration for Different Departments

    You'll be able to manage access and resources at a granular level:
    • Marketing → Claude for creative tasks
    • Finance → GPT for precise calculations
    • Legal → Local Llama for confidential documents
    • IT → Code Llama for development work
    We configure:
    • Token limits (to prevent overuse)
    • Access rights (who can query what data)
    • Per‑department model assignment (to optimize both budget and quality)

What real queries look like

What if our data isn't perfect? Will it work for AI?

The principle of "garbage in, garbage out" still holds — no one has repealed it. But there is a solution. The platform will help with diagnostics by:

  • Showing which metrics are being calculated incorrectly
  • Identifying where your data structure is broken
  • Serving as a trigger for starting the conversation around Data Governance

Data security is our top priority

We understand the concerns of your InfoSec team — and we address every requirement
  • Infrastructure

    Deploy in our cloud or your own air‑gapped environment — you decide
  • Access Control

    Enterprise‑grade authentication with RBAC and AD/LDAP integration
  • Secure Data Transfer

    All communications protected with TLS/HTTPS
  • Audit & Monitoring

    Comprehensive logging of all queries and system activity
Ready to try it out? Any questions? 
By clicking the button, you consent to the processing of your personal data. We use it to stay in touch with you. Learn more here