
AI-Powered Business Intelligence
-70%
time to insight
+25%
adoption of data-driven decisions
60 hrs/month
saved across teams
Access-controlled
respects existing warehouse permissions
Business teams had to ask analysts whenever a question fell outside a standard dashboard. The data was available, but SQL requirements and a busy analyst queue delayed answers.
- New questions often required custom queries and chart preparation.
- Requests competed for limited analyst time.
- Back-and-forth clarification stretched simple analysis into days.
- Leaders could not explore governed data independently.
The existing warehouse already held structured, governed business data. Natural-language querying could make that information easier to explore without creating another data platform or bypassing access controls.
- Let users ask business questions in plain language.
- Translate questions into queries against existing warehouse data.
- Respect each user's established data permissions.
- Show the underlying data so answers can be checked.
We added an AI-powered business intelligence layer on top of the existing warehouse. It returns charts or tables with each answer while preserving access controls and query traceability.
- Users enter questions without writing SQL.
- Answers are generated from governed warehouse data.
- Common questions and queries can be reused for consistency.
- Each result links back to its source data for verification.
Python
Natural language processing (NLP)
Text-to-SQL
Snowflake data warehouse
Google BigQuery
Role-based access control (RBAC)
SQL query optimization
AI-generated data visualizations
AI-powered natural language analytics













