AgentsThe story, in brief

Building the real stuff at Siemens - how the German industrial giant makes probabilistic AI work in a deterministic world

Siemens isn't piloting. The German industrial giant is running probabilistic AI agents across deterministic manufacturing workflows—and Salesforce's Agentforce is the backbone.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A major industrial conglomerate has moved agents from proof-of-concept to operational deployment in an environment where failure isn't an option. This is a concrete enterprise agent use case with real constraints and tradeoffs that practitioners building agent systems in risk-sensitive domains can learn from.

The key facts

5 to know
  1. Siemens CEO Roland Busch on record endorsing Salesforce Agentforce as platform backbone

  2. Deployment context: probabilistic AI (LLM-based agents) bridging deterministic industrial systems

  3. Manufacturing/industrial workflows (highest safety/reliability bar)

  4. No pilot language; implies operational scale

  5. Salesforce Agentforce as enabling technology, not model or tool release

Go to the source

diginomicadiginomica.com

Publisher excerpt: Siemens CEO Roland Busch explains how Salesforce's agentic tech is providing a backbone platform for the industrial giant.
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