Infor and AWS Expand Agentic AI Collaboration to Accelerate AI Adoption in Manufacturing
Key Takeaways
- Expanded partnership: Infor and Amazon Web Services (AWS) are advancing industry-specific AI capabilities for manufacturing and distribution businesses.
- Infor Agentic Orchestrator: The technology coordinates AI agents across complex, multi-step workflows while supporting governance and human oversight.
- Manufacturing-focused automation: AI agents support project management, inventory flow, financial operations, procurement, customer orders and quality management.
- Real-world results: Xpress Boats reported a 50% reduction in expedited shipping costs after implementing Infor Velocity Suite.
- Custom AI agents: Organizations can develop specialized agents using Infor Agent Factory and AWS AI services.
- Availability: The expanded solution was announced on April 20, 2026, and is available on a limited basis through Infor Velocity Suite.
Infor and AWS Expand Collaboration to Bring Agentic AI to Manufacturing
Infor and Amazon Web Services (AWS) are expanding their collaboration to help manufacturers and distributors move beyond experimental artificial intelligence projects and deploy AI agents in real business operations.
Announced on April 20, 2026, the initiative introduces new and enhanced industry-specific AI agents built on AWS infrastructure. The collaboration combines AWS cloud and AI technologies with Infor’s industry expertise to help organizations automate complex workflows, improve operational efficiency and address challenges associated with scaling AI across the enterprise.
The initiative addresses a growing challenge for manufacturers: translating AI investments into measurable business outcomes. While many organizations have experimented with generative AI, integrating AI into production, inventory, procurement, finance and supply chain processes requires reliable data, appropriate controls and a clear understanding of industry operations.
Infor Agentic Orchestrator Coordinates AI-Driven Workflows
A central component of the expanded offering is Infor Agentic Orchestrator, which coordinates interactions between specialized AI agents, business systems and data sources.
Rather than limiting AI to answering questions or generating recommendations, the orchestrator enables agents to support multi-step processes across enterprise applications. This can help organizations coordinate activities that traditionally require employees to move between systems, gather information and manually initiate follow-up actions.
Manufacturers can use agents to monitor operational conditions, identify exceptions and support corrective action. Examples include tracking inventory movements, assessing project delivery risks, reviewing financial information and identifying quality issues.
The architecture also supports custom agents developed through Infor Agent Factory, with AWS technologies including Amazon Bedrock and Amazon SageMaker helping organizations tailor AI capabilities to their operational requirements. Governance controls and human oversight are intended to maintain accountability as automation expands.
AI Agents Target Critical Manufacturing Processes
Infor’s manufacturing-focused agents address several operational areas where delays, inaccurate information and manual coordination can affect business performance.
Project management: Agents can compare project plans with current financial and performance data, highlighting cost variations and potential schedule risks before they affect profitability.
Inventory and supply chain: Inventory flow agents track stock movements and warehouse activities to improve visibility into inbound and outbound materials.
Financial operations: Agents connect information from contracts, supplier invoices, billing and general ledger activities to support financial oversight.
Quality management: Quality-focused agents monitor inspections, non-conformances and material disposition to help identify deviations and maintain consistent standards.
Process mining and operational intelligence: AI agents can use process-mining insights to identify bottlenecks, prioritize improvement opportunities and support targeted remediation.
These capabilities are designed to address manufacturing and distribution requirements rather than rely solely on general-purpose AI models.
Xpress Boats Reports Measurable Operational Improvements
The announcement highlights Xpress Boats, an American manufacturer of aluminum fishing and pontoon boats, as an example of how Infor’s broader technology portfolio can support operational improvements.
Using Infor Velocity Suite, the company reported a 98% improvement in process issue diagnosis speed, a 95% reduction in returns processing time and a 50% reduction in expedited shipping costs.
Xpress Boats subsequently began testing Infor CloudSuite Industrial agents for purchase orders, customer orders, general ledger, accounts payable and accounts receivable.
The company is also exploring how AI agents could help manage vendor pricing updates across bills of materials as product models change. These reported results illustrate potential benefits from combining process mining, automation and AI, although outcomes will vary according to each organization’s processes and implementation.
AWS Provides the Cloud and AI Foundation
AWS supplies the infrastructure and AI services supporting the expanded capabilities, while Infor contributes industry-specific applications, workflows and business context.
This division of responsibilities is important because manufacturing environments involve complex dependencies among materials, production schedules, supplier commitments, quality requirements and financial performance.
The collaboration aims to provide organizations with a foundation for developing and deploying AI agents while maintaining enterprise-level security, scalability and governance.
Customers can access the announced capabilities through Infor Velocity Suite, which brings together AI solutions, automation tools and services for Infor CloudSuite customers in distribution, industrial manufacturing, process manufacturing and related industries. The expanded solution was announced as being in limited availability.
What It Means for ERP Customers
For manufacturers and distributors, the collaboration represents a shift toward ERP environments in which AI agents can participate more actively in operational workflows.
Potential benefits include faster identification of supply chain disruptions, reduced manual processing, improved financial visibility and more consistent handling of exceptions.
However, successful deployment requires more than access to AI tools. Organizations should evaluate data quality, system integrations, authorization controls, auditability and the circumstances in which human approval remains necessary.
Businesses should also begin with clearly defined use cases and measurable objectives, such as reducing order-processing time, improving inventory accuracy or lowering expedited shipping costs.
Conclusion
Infor and AWS are extending their collaboration to help manufacturers deploy industry-specific AI agents across core business operations. With Infor Agentic Orchestrator coordinating workflows and AWS providing the underlying cloud and AI technologies, the initiative seeks to bridge the gap between AI experimentation and production-scale execution.
For ERP customers, the opportunity lies in applying AI to specific operational challenges rather than adopting automation without a defined business objective. The reported results at Xpress Boats demonstrate the potential value, while broader adoption will depend on implementation quality, integration readiness and appropriate governance.