Databricks Agents for Real-Time Production Line Decisions

ProdLine CoPilot analyzes live operational data from the Databricks Data Intelligence Platform to provide immediate, in-shift answers for production line issues. This allows line managers to make faster recovery calls, addressing problems within minutes rather than waiting for morning reports, thus minimizing OEE loss.

The system unifies streaming OT telemetry with MES, ERP, and LIMS data into Delta tables under Unity Catalog. This provides domain specialists with a consolidated view of live plant state, enabling them to leverage real solvers and existing planner constraints for accurate decision-making.

AI-generated recommendations are presented as draft work orders, holds, or schedule notes for approval by line managers, quality leads, and maintenance owners. This ensures human oversight and accountability while maintaining traceability of decisions.

Zerobus Ingest replaces traditional Kafka plumbing with a serverless, push-based system for streaming OT telemetry directly into Unity Catalog Delta tables. This enables near real-time ingest with single-digit-second latency without managing brokers or partitions.

Databricks' Lakehouse architecture eliminates data silos by having a single copy of data accessible via streaming, SQL, and AI workloads. This ensures consistency, reduces reconciliation needs, and centralizes governance through Unity Catalog for both analyst and agent permissions.

Instead of a single, generalized agent, the system employs a roster of specialized agents, each focused on specific tasks like downtime analysis, quality control, or schedule optimization. This approach ensures prompts remain narrow and tools are targeted effectively to the specific question being asked.