Bayer Builds Agentic Decision Engine on Amazon Bedrock AgentCore

Bayer Crop Science built an Agentic Decision Engine on Amazon Bedrock AgentCore to let users query its Connected Decision Engine analytics platform in natural language. According to an AWS Machine Learning Blog case study, the system runs 22 specialist agents and, in its first phase, resolves about 80 percent of user questions without engineer involvement. The case study describes how Bayer designed the system and prepared it for production with AWS Unified Operations, including preserving state, setting authorization boundaries, limiting which tools agents can use, and monitoring failures. It also reports that prompt caching reduced input-token costs by 20–30 percent.

Generated by AI from reports · Updated 42 minutes ago

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