Enterprise systems of record need systems of action
Snowflake organizes enterprise data.
Nolij operationalizes it.
Nolij turns governed enterprise context in Snowflake into executable operational workflows across finance, revenue, and supply chain.
How they work together
Two platforms. One operational system.
Snowflake
Enterprise data foundation
- Governed contracts, vendor records, pricing policies
- Operational history and decision logs
- Cortex intelligence and semantic layer
- Enterprise-grade security and access controls
Nolij
System of action
- Exception detection and operational sensing
- Multi-agent investigation and coordination
- Human-in-the-loop approval workflows
- ERP writeback and execution
Operational domains
Applied across finance, revenue, and supply chain.
Every operational domain uses Snowflake context to investigate exceptions and execute outcomes — with a complete audit trail written back to Snowflake.
Finance
AP exceptions, invoice mismatches, PO lookups, vendor payment holds — resolved with context from Snowflake and executed back to ERP.
See workflowsRevenue
Deal desk approvals, quote exceptions, pricing escalations — informed by account history and pricing policy stored in Snowflake.
See workflowsSupply Chain
S&OP exceptions, shipment delays, supplier disruptions — coordinated across planning, logistics, and finance with Snowflake as the data foundation.
See workflowsArchitecture
How the integration works.
Nolij connects to Snowflake as a governed context layer. Agents query at resolution time — no data duplication, no sync pipelines, no stale context.
Cortex-powered context retrieval
Nolij agents query Snowflake Cortex during exception investigation to surface relevant contracts, policies, and operational history without copying data.
Governed context graph
Vendor records, pricing policies, approval history, and operational memory are maintained in a governed Snowflake schema — accessible to agents with RBAC controls.
Semantic layer integration
Business definitions live in Snowflake. Nolij agents resolve queries against the semantic layer — no hallucinated values, no schema guessing.
Audit writeback
Every agent action, recommendation, and human decision writes back to Snowflake. Operational analytics run directly against the decision log.