Teams kept rebuilding agents others had already built—no shared standard, no way to find them. A mesh gave every agent a discoverable home.
A global science-based agriculture company with over 30,000 employees across more than 90 countries, developing seeds and crop protection products for farmers worldwide.
Teams across many business units were independently experimenting with AI, building agents that couldn't be reused, either because they lacked a...
“AI will make it possible to innovate faster and better. That means better products that can deal with a rapidly changing climate; crops that are more resilient to weather patterns, diseases, and pest pressures; and improved logistics to get the right products in the hands of growers.”
Agricultural technology and products for crop protection and seed production.
Cloud computing platform and on-demand infrastructure services.
Syngenta's Enterprise agent platform is part of this use case:
Related implementations across industries and use cases
Customers sifted through marketing pages for specs. AI agents now interpret intent to surface technical data, ending dead-end searches.
Hard-coded rules choked thousands of AI ideas. Decoupling permissions enabled Siemens to scale a secure GenAI platform to 150k users.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Hard-coded rules choked thousands of AI ideas. Decoupling permissions enabled Siemens to scale a secure GenAI platform to 150k users.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Teams kept rebuilding agents others had already built—no shared standard, no way to find them. A mesh gave every agent a discoverable home.
A global science-based agriculture company with over 30,000 employees across more than 90 countries, developing seeds and crop protection products for farmers worldwide.
Teams across many business units were independently experimenting with AI, building agents that couldn't be reused, either because they lacked a...
“AI will make it possible to innovate faster and better. That means better products that can deal with a rapidly changing climate; crops that are more resilient to weather patterns, diseases, and pest pressures; and improved logistics to get the right products in the hands of growers.”
Agricultural technology and products for crop protection and seed production.
Cloud computing platform and on-demand infrastructure services.
Syngenta's Enterprise agent platform is part of this use case:
Related implementations across industries and use cases
Customers sifted through marketing pages for specs. AI agents now interpret intent to surface technical data, ending dead-end searches.
Hard-coded rules choked thousands of AI ideas. Decoupling permissions enabled Siemens to scale a secure GenAI platform to 150k users.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Hard-coded rules choked thousands of AI ideas. Decoupling permissions enabled Siemens to scale a secure GenAI platform to 150k users.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.