Title
Building an agent mesh in 3 days: Syngenta's Bedrock AgentCore journey
Syngenta's agent mesh was operational in 3 days during the AWS EBA.
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Description
Swiss agriculture company Syngenta built a federated multi-account agent mesh using Amazon Bedrock AgentCore, deploying the initial architecture in 3 days and six cross-functional agents in 4 weeks, achieving 20% better latency and 40% faster deployment, with its Austyn data-analytics agent now used by up to 12,000 internal monthly active users.
…erated agentic solution: an agent mesh. Accelerating its process alongside AWS, Syngenta developed and deployed the initial mesh and two agent solutions in only 3 days. Now the infrastructure is in place for Syngenta developers to securely innovate…
…s supply chain and marketing business units are actively deploying agents, with marketing building six agents in 4 weeks. Three additional functions—with use cases such as agents for cash management a…
Company
Syngenta
…elopers to securely innovate with agentic AI across the company. About Syngenta Headquartered in Switzerland, Syngenta is a global science-based agriculture company that empowers farmers to meet the demands of modern agriculture by providing seeds and crop protection products. Opportunity | Using Amazon Bedrock AgentCore to democratize AI A large multinat…
Country
Switzerland
…elopers to securely innovate with agentic AI across the company. About Syngenta Headquartered in Switzerland, Syngenta is a global science-based agriculture company that empowers farmers to meet the demands of modern agriculture by providing se…
Industry
Agriculture
…elopers to securely innovate with agentic AI across the company. About Syngenta Headquartered in Switzerland, Syngenta is a global science-based agriculture company that empowers farmers to meet the demands of modern agriculture by providing se…
Problem
As a large multinational with over 30,000 employees in more than 90 countries, Syngenta had many teams across functions and business units experimenting with AI independently, leading to duplicated agent-building effort that could not be easily reused because agents weren't built to a common technical standard or couldn't be found by other teams; Syngenta wanted company-wide, interoperable AI innovation with centralized governance, security, and reduced technical debt.
…in functional teams with enforcing guardrails at a central level,” says Krohn. “We also saw a lot of rebuilding of the same sort of AI agents. They couldn’t get reused easily, either because they weren’t built to a common technical standard, or because people couldn’t find them.” To build a solution, Syngenta used Amazon Bedrock AgentCore. “Amazon Bedrock A…
Solution
Syngenta used Amazon Bedrock AgentCore to build a federated multi-account hub-and-spoke agent mesh, developed during a 3-day AWS Experience-Based Acceleration engagement. The central hub account provides orchestration, observability, and gateway services via AgentCore Gateway, while spoke accounts connect using AgentCore Runtime, a secure serverless hosting environment for agents. The mesh uses Agent2Agent and AG-UI protocols for inter-agent communication and Model Context Protocol for data retrieval, with AWS IAM and AgentCore identity management securing agent identities, plus catalogs and registries so business units can discover and reuse agents other teams have built.
…we’ve chosen.” The agent mesh uses a multi-account hub-and-spoke architecture. The central hub account provides orchestration, observability, and gateway services using the gateway capabilities in AgentCore , which provides an easy and secure way to build, deploy, discover, and connect…
Business value
Syngenta's agent mesh was operational in 3 days during the AWS EBA; the supply chain and marketing business units are actively deploying agents, with marketing building six agents in 4 weeks. Using AgentCore Runtime, Syngenta achieves 20 percent better latency than physical servers and deployment takes around 40 percent less time. Austyn, a widely adopted data-analytics agent built during the EBA, is now used by up to 12,000 internal monthly active users to run exploratory data analysis, plot charts, and create visualizations.
…te and execute code securely in sandbox environments—to perform data analytics. Now up to 12,000 internal monthly active users bring their data to Austyn to run exploratory data analysis, plot charts, and create visualizations. Going forward, Syngenta will refactor some agents that were built before the ag…
AI capabilities
Agentic AI, Generative AI
…ution for building, deploying, and operating effective agents securely at scale—to develop a federated agentic solution: an agent mesh. Accelerating its process alongside AWS, Syngenta developed and deployed the in…
Business functions
Marketing, Supply Chain & Logistics
…the company Syngenta’s agent mesh was operational in 3 days during the AWS EBA. The company’s supply chain and marketing business units are actively deploying agents, with marketing building six agents in 4 weeks. Three additional functions—with use cases such as agents for cash management an…
Technology
Amazon Bedrock AgentCore, AWS Identity and Access Management (IAM)
…ing central orchestration. Jason Krohn Head of Data and AI Technology, Syngenta AWS Services Used Amazon Bedrock AgentCore One platform to build, connect and optimize agents Learn more AWS Experience-Ba…
Headline outcome
…sh during EBA 3 weeks to build 6 cross-functional agents 4 improved latency 20% faster deployment time 40% Overview Agriculture company Syngenta believes in the power of AI to transform…
Use case type
Workflow automation
…business units were experimenting with AI, each running their own initiatives. Syngenta wanted to create a company-wide, interoperable environment that teams could use to continue innovating freely with AI while implementing the right security and privacy controls. It also aimed to re…
Capture details
- Captured
- 28 Sept 2026, 07:11 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- c163963fac520d22b4b13a1ea8123d00d2ed10decf34f1bd5ce7339376922b51