JapanManufacturing2024 – ongoingMurata Manufacturing
Murata Coworker employee assistant with layered guardrails
Murata reported about 3 hours saved per employee each month with its internal AI tools
Problem
Murata needed AI tools suited to its internal terminology and business systems. It also needed consistent controls as employees began using agents that accessed tools and data.
Approach
Murata developed Coworker with business departments on AWS infrastructure. It supported document work and translation using company-specific terminology. Murata combined Amazon Bedrock guardrails with NVIDIA NeMo Guardrails and implemented authorization controls for access to business data.
Results
Takeaway
Murata treated access permissions and response controls as shared infrastructure for employee AI applications. Its reported time savings remained a company estimate.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
ITmedia reported Murata's conference presentation on Coworker and agent governance. Murata reported about 30,000 cumulative users and about 3 hours saved per employee monthly, while describing layered guardrails and authorization controls.
Full details are in the original sources.