Siemens Solution

Industrial Artificial Intelligence Orchestration Layer

Make AI safe, deterministic, and auditable. Coordinate AI models, humans, and automation systems using hierarchical state machines, blue and green rollouts, and full traceability.

Overview

The Industrial AI Orchestration Layer is the safeguard between artificial intelligence and real-world machinery. It ensures that AI-driven insights can enhance operations always without compromising safety, reliability, or operator authority. Acting as a policy, safety, and control gateway, the orchestration layer validates every AI suggestion against machine state, interlocks, permissions, and plant rules before anything reaches a PLC.

It prevents unsafe commands, resolves conflicts between multiple AI systems, provides full transparency to operators, and ensures all model updates are tested through virtual commissioning before deployment.

This layer enables manufacturers to adopt AI confidently—unlocking higher efficiency and smarter automation while maintaining the strict standards of industrial control environments.

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Detailed architecture

Industrial Edge acts as the secure gateway for data acquisition and preprocessing at the field level, connecting vendor-agnostic automation equipment via MQTT, OPC UA, and REST APIs.

Data is then aggregated into WinCC OA, which provides event management, database integration, and SCADA functionalities at the factory level.

From there, enterprise applications and cloud-based LLM platforms, such as OpenAI, AWS Bedrock, Claude, and Gemini, are seamlessly integrated through the WinCC OA MCP Server, enabling AI-driven insights and automation.

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Values & benefits

AI-driven insights

Unlock advanced analytics and predictive decision-making through LLM integration.

Openness and flexibility

Supports multiple LLM providers and enterprise applications without vendor lock-in.

Secure & scalable

Industrial Edge ensures secure connectivity and scalable architecture for future AI adoption.

Enhanced human-machine interaction

Natural language interfaces simplify complex operations and troubleshooting.

End-to-end integration

From shop floor to cloud AI services, ensuring data consistency and governance.

Components

Industrial Edge

• Run applications and AI close to machines with low latency

• Manage and update devices securely at scale

• Bridge shop floor equipment with higher-level IT and cloud systems

Industrial AI

• Turn raw production data into actionable AI insights

• Deploy and manage AI models across lines and sites

• Keep model outputs coordinated, explainable, and traceable

Machine Proxy App

• Standardize machine signals into a common data format

• Securely expose equipment data to higher-level systems

• Pre-process data close to machines for faster AI decisions