Infor Unveils Industry-Built AI Agents to Transform Operational Workflows

Key Takeaways

Infor has launched Built for Industry AI Agents, which are generative AI tools tailored for specific industry workflows, automating tasks and improving operational efficiency without the need for custom coding.

Each AI Agent is designed for industry-specific needs, leveraging specialized data models to enhance processes like manufacturing bottleneck identification and healthcare patient intake automation, demonstrating Infor's domain expertise.

As AI becomes mainstream in ERP systems, organizations must prioritize solutions that offer contextual intelligence and responsible data governance to drive meaningful improvements and usability.

Infor, a cloud ERP provider tailored for specific industries, announced the launch of its Built for Industry AI Agents, a new line of generative AI tools designed to automate workflows, improve decision-making, and boost operational efficiency in industry-specific ERP settings. These AI Agents utilize Infor’s cloud platform, built on Amazon Web Services (AWS), to deliver context-aware automation in manufacturing, distribution, healthcare, and other sectors.

Infor’s new AI Agents operate within a secure, controlled framework that allows customers to deploy large language models (LLMs) trained on relevant operational data. Unlike generic chatbots or assistants, these agents are pre-configured for industry workflows, leveraging Infor’s domain models and data architectures. This approach enables enterprises to automate tasks such as quote creation, supply chain optimization, and maintenance scheduling without needing custom coding or external AI integrations.

Industry-Specific Intelligence at Scale

Each AI Agent is designed to meet the specific operational needs of its industry by using specialized data models integrated into Infor’s CloudSuites. For instance, in manufacturing, agents can identify production bottlenecks, suggest schedule adjustments, and even initiate corrective actions in real time. In healthcare, they can automate patient intake procedures or monitor supply usage to boost compliance and reduce costs.

Infor emphasizes that the Built for Industry designation reflects years of domain expertise integrated into its ERP solutions. “Our new suite of solutions allows customers to harness the power of AI with purpose and precision,” said Kevin Samuelson, Infor’s CEO. “When deployed strategically, AI can help organizations thrive and prosper amid the growing number of challenges across industries.”

Cloud Architecture and Responsible AI

The AI Agents are delivered through Infor OS (Operating Service), the company’s unified cloud platform, ensuring integration with core ERP, analytics, and workflow systems. The platform is built on Infor’s partnership with AWS, which provides scalable infrastructure and native access to foundation models for generative AI. Governance and security features are included by design, giving enterprises the ability to manage how AI components access and use data. Such control is particularly important in regulated industries such as healthcare and aerospace.

What This Means for ERPinsiders

AI goes mainstream in enterprise ERP adoption. Infor’s announcement follows a broader market trend toward embedded AI in ERP systems, with other major vendors also introducing AI co-pilots within their platforms. However, Infor’s vertical-first approach may appeal to midmarket and enterprise organizations looking for ready-made, industry-specific automation rather than generic AI features.

Industry-specific AI is transforming competitive edge. CIOs and tech leaders should assess how AI-driven process improvements match their industry’s unique challenges and regulations. Vendors, including Infor, are rapidly updating their AI offerings, making it essential to choose solutions that deliver contextual intelligence rather than generic automation.

Governance and usability are now key success factors. The most effective AI implementations will balance innovation with responsible data management and user engagement. ERP teams should focus on providers that integrate AI into existing workflows, ensure transparency, and show measurable results. Look for integrations that reduce manual work, accelerate decision-making, and enhance visibility into compliance.