Infor OS Platform: Architecture and Capabilities

Core Platform Components

le for the user experience layer, Data Lake for analytics and reporting, Coleman for AI and machine learning, and Document Management for content services. Each component is independently valuable but designed to work together. The platform runs on AWS infrastructure and leverages AWS services for scalability and reliability.

• ION provides event-driven integration using BODs (Business Object Documents) as the message format
• Ming.le delivers a unified portal experience with role-based homepages and social collaboration
• Infor Data Lake aggregates data from all connected applications for cross-system analytics
• Coleman AI provides pre-built and custom machine learning models for business predictions

Integration Architecture Patterns

The most valuable aspect of Infor OS for most organizations is ION's integration capability. ION supports both synchronous (API) and asynchronous (BOD/event) integration patterns. Understanding which pattern to use for each integration scenario is critical for performance and reliability.

Many implementation partners default to synchronous API calls when asynchronous BOD processing would be more appropriate and resilient.

• Use asynchronous BOD processing for high-volume, non-time-critical data flows
• Reserve synchronous API calls for real-time lookups and user-facing interactions only
• ION Connect provides pre-built connectors for common third-party systems
• Custom BOD definitions enable integration of non-standard data between applications

Maximizing Platform Value with AI

Netray's AI agents help organizations audit their Infor OS utilization, identify underused capabilities, and design integration architectures that leverage the full platform. Most organizations use less than 30% of Infor OS capabilities—the agents identify the remaining 70% and prioritize adoption based on business impact.