Welcome to the Agentic AI for Manufacturing Cloud Service Documentation
The Agentic AI for Manufacturing Cloud Service is a cloud-native service that enables manufacturers to design, deploy, and operate intelligent AI agents on the shop floor. By combining conversational interfaces, no-code workflow orchestration, semantic search, and data-ingestion pipelines, Agentic AI for Manufacturing Cloud Service accelerates Industry 4.0 use cases—from predictive maintenance to quality inspection—without requiring extensive coding or infrastructure setup.
Quick Links
- Release notes – see what’s new in each version
- Getting started – your first steps
- Basic operations – understand basic components
- Configuration – explore the different configurations
- Agents - see which agents are available and what they do
- Support - look where to get help
- Glossary - see how important terms are defined in this context
- General service information
- Guidelines – what you need to consider when using the Agentic AI for Manufacturing Cloud Service
- Architecture – overview of the service architecture
- Service description – the description of the offered services
- Service announcements - see whether there are known issues or planned downtimes
- Customer information leaflet – what you need to know in terms of our data processing policies
- OSS disclosure documents – third-party open source software components
Overview
The Agentic AI for Manufacturing Cloud Service empowers engineers, system integrators, and operations teams with:
- A conversational interface for chat-style dialogs or voice commands
- A no-code workflow editor to visually compose, test, and schedule processes
- A semantic query engine for natural-language search over documents, logs, and real-time sensor data
- ETL pipelines that ingest, transform, and normalize data from PLCs, historians, SQL/NoSQL stores, and more
- Scalable cloud deployments to elastically run agents and workflows across multiple sites
Key Features
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Conversational Interface
Engage with machines and data via chat-style dialogs or voice commands. -
No-Code Workflow Editor
Visually compose, test and schedule multi-step processes with drag-and-drop modules. -
Semantic Query Engine
Leverage natural-language search over documents, logs and real-time sensor data. -
ETL Data-Ingestion Pipelines
Ingest, transform and normalize data from PLCs, historians, SQL/NoSQL stores, and more. -
Scalable Cloud Deployments
Elastically scale agents and workflows across multiple sites and compute tiers.
Benefits
- Reduce integration time with pre-built connectors
- Lower development costs through no-code tools and reusable templates
- Improve operational efficiency with real-time insights and automated workflows
- Accelerate ROI by deploying pilot projects in days instead of months
Getting Started
- Request a trial account here
- Follow the Quickstart Guide to spin up a demo environment in our cloud sandbox.
- Explore sample use-case templates for predictive maintenance, production monitoring, and more.