Bayer agronomic advisors — frontline crop protection specialists supporting farmers and retail partners — faced a critical bottleneck. Advisors needed to deliver precise, context-specific guidance on pesticide and herbicide use across diverse regional regulations and crop types, but spent hours or days manually searching product labels exceeding 100 pages. As Sachi Desai, VP of AI Go-to-Market at Bayer, put it: “A wrong answer isn’t just a missed opportunity — it could cause real harm to a farming operation.”
Rather than deploying a general-purpose model, Bayer partnered with Microsoft’s Cloud for Industry team to build E.L.Y. Crop Protection (Mini), a specialized small language model on the Microsoft Phi framework, fine-tuned exclusively on proprietary label data, regulatory rules, and expert Q&A. Hosted and iterated in Microsoft Foundry, the model delivers label-accurate answers advisors can trust in the field while preserving full IP ownership and compliance traceability. It surfaces through Bayer’s existing E.L.Y. Copilot interface for internal advisors and through secure APIs for selected retail partners.
Early users reported 5–10% productivity gains, with complex questions resolved in under 30 seconds rather than days or weeks — described as “like giving a new advisor 20 years of agronomic experience in their back pocket.” Bayer plans to expand deployment across U.S. retail partners while adding multilingual support, broader domain coverage for seeds and biologicals, and integration into partner platforms, setting a new benchmark for responsible innovation in regulated environments.