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Bayer Crop Science built an AI agentic decision engine on Amazon Bedrock

Bayer uses Amazon Bedrock AgentCore to run 22 specialist AI agents that answer internal data queries.

Bayer Crop Science built an AI agentic decision engine on Amazon Bedrock — image from AWS
Image: AWS

Summary

Bayer Crop Science developed the Agentic Decision Engine to provide a natural language interface for its existing data systems. The platform uses 22 specialist agents to handle queries about genomics and field trials. It currently resolves 80 percent of user questions without manual intervention.

What changed

  • Bayer launched the Agentic Decision Engine as a natural language interface for its data.
  • The system runs on Amazon Bedrock AgentCore to manage agent operations.
  • Bayer deployed 22 specialist agents, each scoped to a specific domain with dedicated tools.
  • The engine resolves 80 percent of user queries without requiring an engineer.

Availability

Available now

“In its first phase, ADE resolves about 80 percent of user questions without an engineer in the loop.”

Founder takeaway

Small teams building multi-agent systems should scope tools to specific domains and measure task-level success to reduce manual intervention.

Source

AWSHow Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations | Amazon Web Services

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