AI Engine Layer

Trusted Data Foundation

Clean, governed datasets in Snowflake. Single source of truth for model training.

Feature Store (ML)

Reusable feature engineering pipelines. Consistent metrics for training vs. inference.

MLOps & Automation

CI/CD for models, automated retraining, and drift monitoring pipelines.

Platform Status:
Architecture supports modular AI component integration (Day 1 Ready).

Strategic AI Use Cases

Phase 2 Target High ROI

Predictive SLA Monitoring

Transition from reactive reporting to proactive intervention. AI models analyze network telemetry to forecast service breaches 48 hours in advance, allowing Operations to mitigate before penalties occur.

15% Reduction in SLA Credits
Simulated Forecast

Billing Anomaly Detection

Machine learning algorithms scan daily usage logs to identify billing spikes or drops that deviate from historical patterns, preventing revenue leakage and bill shock.

Revenue Assurance

Customer Consumption 360

Unified view of customer utilization trends. Predictive churn modeling identifies at-risk accounts based on declining usage or support ticket volume.

Churn Reduction