Engineered Decision Systems

Six tiers of operational intelligence

From real-time anomaly detection to governed human-in-the-loop workflows, our systems bridge the gap between enterprise data warehouses and frontline execution.

01

Signal detection

03

Root-cause diagnostics

06

Governed autonomy

Foundation Layers

Detecting anomalies, alerts, and root causes

Deterministic telemetry models operating natively within your data warehouse to isolate variances before they impact operations.

Business signals & anomalies

Targeted alerts & monitoring

Root-cause diagnostics

Continuous monitoring of operational metrics to surface significant variances in revenue, supply, or patient volume without manual threshold tuning.

Context-rich notifications routed directly to operational channels, eliminating broad alert fatigue in favor of verified exceptions.

Automated attribution models that interrogate underlying dbt semantic models to explain why a metric shifted overnight.

Execution Layers

Recommendations, agents, and governed workflows

Moving past insights into operational delivery. We engineer next-best-action queues that feed directly into existing CRM, ERP, and collaboration suites, ensuring human operators maintain final review authority over automated execution.

Every automated workflow is backed by strict role-based access control and auditable data lineage, ensuring complete transparency into how recommendations were generated and who approved their release.

Ready to design your operational decision system?

Initiate a technical scoping discussion with our Snowflake and Cortex Code engineering practice.