About Siemens (via AWS Bedrock)
Siemens (via AWS Bedrock) is a leading organisation in the manufacturing sector. Like most manufacturing organisations at scale, they faced growing operational complexity — more volume, higher expectations, and a workforce stretched thin by routine but critical tasks.
The Problem
Siemens engineers spent significant time searching through millions of pages of technical documentation across product lines, creating delays in troubleshooting, maintenance, and new product development.
How They Used Claude
Deployed Claude via AWS Bedrock as an engineering assistant capable of answering technical questions by reasoning across Siemens' vast documentation corpus, including schematics, maintenance manuals, and engineering standards.
Measurable Outcomes
- ✓ Technical query resolution time reduced by 73%
- ✓ New engineer onboarding time cut by 35%
- ✓ Documentation search accuracy up 89% vs keyword search
- ✓ Engineering productivity gains valued at $12M annually
"Having an AI that actually understands our technical documentation — not just searches it — has transformed how our engineers work."
— Siemens (via AWS Bedrock) · Source: AWS re:Invent Case Study + Anthropic Enterprise Programme (2024)
Key Lessons for Manufacturing Organisations
Start with a clearly scoped pilot — one use case, one team, 30 days.
Measure baseline metrics before deployment so ROI is unambiguous.
Executive sponsorship drives adoption; middle management drives usage.
Invest in training alongside technology — adoption is 80% people, 20% product.