Bayer

Bayer and Vienna Medical Centers Improve Clinical Workflows with Multi-Agent AI Board

Bayer · Clinical documentation · Microsoft

Bayer and leading Vienna healthcare institutions collaborated with Microsoft to implement AI-powered agent solutions. Using Microsoft Copilot Studio's healthcare agent service and Dragon Copilot, they developed a multi-agent decision board to support complex drug submission processes and automated pre-anesthesia intake. By integrating credible medical sources and organizational knowledge, these agents reduced administrative workloads, enhanced clinical documentation, and helped automate pre-anesthesia assessments. This real-world implementation addresses critical operational challenges, including clinical workforce shortages and ballooning administrative burdens. The AI-powered system orchestrates both conversational and workflow agents to handle documentation, patient interactions, and conflict-checking. The solutions were rolled out at Bayer for market access strategies and at Allgemeines Krankenhaus (AKH) Wien with the Medical University of Vienna for anesthesiology: both saw significant time savings, improved data-driven decision-making, and better patient management outcomes. Built-in safeguards and compliance features in Copilot Studio’s agent service ensure that all solutions adhere to strict regulatory requirements for evidence-based healthcare AI. The introduction of these AI agents highlights the broader trend towards agentic healthcare AI designed for real-world clinical integration. The article also notes responsible use guidelines and stresses that these tools are designed to support—not replace—clinical expertise and judgment.

Multi-agentProduction

Userlane Collaborates with Microsoft to Deliver AI Agentic Assistance Integrated in Microsoft 365 Copilot

Bayer · Microsoft

Userlane, a Digital Adoption Platform company based in Germany, developed an enterprise-grade AI Assistant integrated directly within Microsoft 365 Copilot and powered by Microsoft Azure AI Foundry, Azure OpenAI, Azure Kubernetes Service, and Azure Database for PostgreSQL. This AI agentic assistance helps enterprises handle complex software processes, reduce digital friction, improve software adoption, and cut costs related to training and support. Customer BayernLB increased software adoption in Microsoft Dynamics 365 by 87%, enhancing employee productivity and experience.

Agentic

Bayer accelerates efficiency with Microsoft Copilot

Bayer

Bayer leverages Microsoft Copilot to enhance collaboration among researchers and accelerate scientific and agricultural innovation. Copilot connects teams across regions with predictive models and provides insight through natural language searches, saving months of work by reducing duplication. Additionally, integration with GitHub helps developers streamline coding processes, while Copilot also eliminates mundane tasks and improves efficiency across departments. Bayer is exploring further applications of Copilot to align its technological advancements with its mission of health and hunger solutions.

Exploring

Retail and consumer goods supply chains strengthened with autonomous agents

Bayer · Inventory optimization · Microsoft

Retail and consumer goods industries face growing disruption in their supply chains, driven by omnichannel models, external shocks, and complex ecosystems. Microsoft’s agentic AI systems, built on Copilot Studio, enable organizations to automate and optimize critical supply chain processes with context-aware, autonomous agents. These agents perform tasks like monitoring stores, forecasting inventory, allocating stock based on customer prioritization and external shocks, selecting alternative suppliers to mitigate tariffs, and even negotiating terms, all with minimal human intervention. This AI-led approach boosts agility and decision speed, reduces costs and inefficiencies, and allows businesses to scale value chain optimization. Unlike RPA, these agents leverage LLM reasoning, act independently, and can learn and adapt to new data and evolving scenarios. The case outlines measurable improvements in supply chain resilience, inventory management, and operational productivity.

Multi-agentProduction

Bayer builds Decision Science Ecosystem on AWS for AI/ML productivity

Bayer · Data platform modernization · AWS

Bayer’s Crop Science division built the Decision Science Ecosystem (DSE) on AWS to centralize AI and ML development environments and improve data science productivity. The platform is built on Amazon SageMaker Studio and uses Amazon Bedrock and Amazon Q to support guardrails, documentation, and task automation. Bayer also paired the platform with AWS Training and Certification to upskill employees and improve cloud fluency across data scientists, engineers, analysts, and managers.