How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations
Bayer built a multi-agent LLM system resolving 80% of ML workflow questions without engineers
“In its first phase, ADE resolves about 80 percent of user questions without an engineer in the loop.”
Bayer Crop Science deployed a multi-agent natural language interface over its ML workflow platform using Amazon Bedrock AgentCore, enabling users to query complex genomics and breeding pipelines in plain English. The system routes questions to specialist agents and resolves 80% without human escalation. This is a concrete enterprise case study of agentic AI reducing operational toil in a domain-specific scientific context.