Infor Unveils Built-for-Industry AI Agents to Revolutionize Operational Workflows

Infor recently announced the launch of a new generation of AI (artificial intelligence) agents built specifically for different industries—manufacturing, distribution, and services. Per the press release, these aren’t generic chatbots; they’re role‑based agents designed to understand the workflows, compliance rules, and data landscapes of micro‑verticals like EV manufacturing, textile production, or healthcare supply chains.

What makes these agents special?

  • Built on domain knowledge. Backed by Infor’s industry process catalogs and value maps, the agents carry built‑in expertise for things like procurement, supply chain, workforce, projects, and product lifecycles.

  • Role‑aware intelligence. Whether you’re a buyer, project manager, or financial analyst, the agent tailors its recommendations using real‑time enterprise data (both from Infor and external systems).

  • Scalable orchestration. The “Infor Agentic Orchestrator” handles coordination across agents, systems, and workflows. It’s built with Amazon Bedrock, LangChain, and governance tools to keep everything transparent and auditable.

Supporting moves: Cloud migration + smarter process mining

To help customers transition smoothly, Infor is introducing Infor Leap — a cloud migration offering with fixed timelines, fixed pricing, and built‑in safeguards (including an opt-out clause) to reduce migration risk. Additionally, Infor is boosting its process mining with generative AI capabilities to automatically summarize process overviews, improve dashboard flexibility, and help teams spot bottlenecks more quickly.  Infor argues that generic AI solutions often fall short in industrial environments because they don’t grasp domain context. Their new agents aim to fix that by bringing precision, speed, and industry awareness to decision support systems. Early customer feedback is positive—companies say they’re able to cut down manual efforts, accelerate insight delivery, and free staff for higher‑value tasks

 

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