Snowflake
Governed Enterprise Intelligence on Snowflake
Orisdale designs governed business logic and semantic intelligence for Snowflake-based Enterprise Intelligence Systems.
How Orisdale extends Snowflake
Snowflake provides the governed data and semantic foundation. Orisdale adds governed business logic, semantic preparation, and controlled AI experience design on top, so Cortex Agents and Cortex AI capabilities interpret trusted, well-defined business context rather than raw tables.
Orisdale is a registered partner-program participant with Snowflake.
- Governed tables and views
- Semantic models and Cortex Analyst
- Cortex Agents and Cortex AI capabilities
- Cortex Search and AI Functions
- In-platform data governance
Reference architecture
Snowflake reference pattern
Reference pattern. Not a demonstrated deployment and not a Snowflake endorsement. Semantic views do not by themselves prevent a query from reading base tables.
Reference pattern
Snowflake platform boundary
Ingested tables
Selected source data
Data · Authorized fields → Approved definitions
Semantic views
Native Snowflake objects
Data · Semantic context → Cortex Analyst
Approved definitions
Approved rule versions
Query · Approved definition → Query execution
Query execution
SQL inside Snowflake
Data · Query result → Business experience
Source systems
Owned outside Snowflake
Data · Selected records → Ingested tables
Cortex Analyst
Generates the query
Query · Generated SQL → Query execution
Business experience
Business experience
Feedback · Finding for review → Human reviewer
Human reviewer
Pending review
- Data flow
- Query and control
- Human feedback
Cortex Analyst generates SQL. A semantic view does not by itself stop a query from reading base tables. Snowflake documents a standard-SQL routing fallback. Snowflake Cortex Analyst routing.
- Native to Snowflake
- Orisdale contribution
Relevant solutions
Revenue Intelligence
Understand what changed in the quarter's open pipeline, which movements reconcile, and which records still need review. This synthetic example explains the included change. It does not establish a complete pipeline total or a forecast.
- · AI Sales Forecast Intelligence
- · Pipeline health analysis
- · Revenue risk detection
Finance Intelligence
Finance Intelligence combines approved budgets, actuals, governed variance calculations, materiality rules, and AI-ready business context to help finance teams explain performance without allowing AI to redefine the numbers.
- · Budget-versus-actual intelligence
- · Material variance detection
- · Management-attention classification