Infor Unveils Expanded Industry AI Architecture to Advance Intelligent ERP Operations

Infor has unveiled an expanded Infor Industry AI architecture and the latest evolution of its Infor Velocity Suite, introducing new industry-specific AI agents, intelligent user experiences and enterprise-wide governance capabilities. Announced on October 6, 2026, the developments aim to help organizations modernize ERP operations, automate complex business workflows and improve decision-making through industry-focused artificial intelligence (AI).

The announcement reflects Infor’s strategy to move beyond traditional enterprise resource planning (ERP) systems towards agentic enterprise operations, where AI agents and employees work together to manage business processes. By combining industry-specific knowledge, enterprise data and intelligent automation, Infor aims to help businesses achieve more practical outcomes from their AI investments.

The latest developments are supported by the company’s second Enterprise AI Adoption Impact Index, which surveyed more than 2,000 business decision-makers across seven markets. The research found that approximately 68% of respondents believe off-the-shelf AI solutions do not adequately address their industry’s specific requirements.

Four Key Pillars of Infor Industry AI Architecture

Infor’s expanded Industry AI architecture is built around four major pillars designed to support intelligent enterprise operations.

1. Precise Outcomes Through Industry-Specific AI Agents

Infor is expanding its portfolio of Industry AI agents with specialized capabilities designed for specific business processes and industry requirements.

Unlike general-purpose AI tools, these agents use industry-specific information from Infor CloudSuites, Industry Process Catalogs and domain language models. This allows them to understand specialized business requirements and support more accurate operational decisions.

The agents are designed to automate activities across manufacturing, finance, procurement, supply chain, customer service and other enterprise functions.

Infor also announced that its GenAI Knowledge Hub is generally available, allowing customers to use trusted application and industry knowledge to develop customized AI agents.

2. Open and Connected Enterprise Architecture

The second pillar focuses on interoperability and connectivity across enterprise technology environments.

Infor’s architecture is designed to connect its own applications with third-party business systems, analytics platforms and existing AI orchestration tools. This approach allows organizations to introduce intelligent automation without replacing their entire technology infrastructure.

A key component is Infor IQ, a semantic layer that provides AI agents with a consistent understanding of business information and relationships.

The platform also includes a catalog of more than 350 prebuilt business use cases, helping organizations identify opportunities for AI adoption and accelerate implementation.

3. Adaptive User Experiences for Better Productivity

Infor is introducing an enhanced Adaptive UX that provides employees with personalized, AI-powered interfaces based on their roles and responsibilities.

Instead of navigating multiple applications and screens to collect business information, employees can access relevant data through a unified interface.

For example, a procurement manager reviewing a purchasing decision can access product information, supplier details, quoted prices and delivery schedules within a single contextual view.

Users can interact with Infor GenAI Assistant or continue using other AI assistants they have already adopted.

Infor reports that customers are seeing up to 90% time savings across selected procurement, supply chain, manufacturing and sales workflows.

4. Enterprise-Wide AI Governance and Security

The fourth pillar focuses on responsible AI deployment through enhanced governance, risk and compliance capabilities.

As AI agents gain the ability to perform business activities, organizations need appropriate controls to monitor their actions and protect sensitive enterprise information.

Infor is strengthening its governance framework with:

• Human Approval Workflows: Allows employees to review and approve important AI-driven decisions.
• Agentic Permission Structures: Controls the activities AI agents can perform within business systems.
• Audit Trails: Records agent activities to improve accountability and transparency.
• Explainable AI: Provides greater visibility into the reasoning behind AI-supported actions.
• Security and Compliance Controls: Helps organizations manage operational risks and maintain governance requirements.

Infor also reports that customers are experiencing up to a 90% reduction in auditing costs related to access management.

Infor Velocity Suite Expands AI-Powered ERP Automation

Alongside its expanded Industry AI architecture, Infor introduced the next evolution of Infor Velocity Suite.

The solution brings together industry-specific AI agents, generative AI, process mining, automation and implementation expertise within a unified offering.

Infor Velocity Suite is designed to help organizations identify business processes that could benefit from automation, prioritize high-value opportunities and deploy AI capabilities across enterprise operations.

The platform also supports coordinated AI agent activities, helping businesses connect multiple workflows rather than relying on isolated automation tools.

This approach is intended to help organizations move from AI experimentation towards measurable business improvements.

Benefits for Manufacturing and Distribution Businesses

Infor’s expanded AI architecture offers several potential advantages for companies operating in complex manufacturing and distribution environments.

• Improved Operational Efficiency: Automates repetitive tasks across ERP and supply chain processes.
• Better Manufacturing Visibility: Helps employees identify production constraints and respond to operational issues.
• Enhanced Procurement Management: Supports supplier analysis, purchasing decisions and sourcing activities.
• Faster Business Decisions: Provides employees with relevant business information through personalized interfaces.
• Stronger Enterprise Governance: Introduces security controls, approval workflows and detailed audit records.
• Reduced Administrative Work: Helps simplify reporting, information retrieval and routine business processes.

By combining industry-specific intelligence with enterprise-wide governance, Infor aims to help organizations scale AI adoption while maintaining control over critical business operations.

Conclusion

Infor’s expanded Industry AI architecture represents an important step in the evolution of intelligent ERP and enterprise automation. Through specialized AI agents, connected enterprise applications, adaptive user experiences and enhanced governance, the company is working to make AI more practical for complex industry operations.

The latest Infor Velocity Suite developments also demonstrate the company’s focus on connecting AI capabilities with measurable business outcomes rather than limiting automation to basic recommendations.

As manufacturers, distributors and other enterprises continue investing in cloud ERP and digital transformation, industry-specific AI agents could play an increasingly important role in improving productivity, strengthening operational visibility and supporting more intelligent business decisions.