The Boreon Platform at boreon.ai

boreon.ai is the platform our whole Tableau practice taught us to build: AI Orchestration and Governance for Tableau, across Salesforce Data 360, Snowflake and Databricks. Fourteen governed tools share one semantic layer, so a metric defined once gives the same number on every dashboard, in every conversation, and in the warehouse itself. You run Claude, GPT or your own OpenAI-compatible endpoint, and every answer is computed from your certified metrics.

The safety architecture is the product. The connectors carry no write method at all, so a read-only credential is the most access the platform can ever hold. The AI reads, explains and proposes; every change it drafts routes through a human approval gate, and nothing you run through it trains any model. Sign in once with your Tableau token and the platform works inside the permissions you already granted.

The engineering is measured, not asserted. The workbook build engine ships with 371 tests and emits byte-identical output for identical input. The quality engine, 304 tests, compares model to model, so the same filter saved twice is equal while a swapped measure is not. The migration engine, 178 tests, throttles against live sessions so a token refresh can never starve its own retry. And the reconcile view reads two warehouses side by side and shows its evidence, because a number you cannot trace is a number you cannot govern.

It runs at ai.boreon.com.