RPI Consultants released results from its third annual State of the Infor Community Survey, revealing accelerating cloud migration momentum and emerging AI integration efforts among Infor users, while highlighting persistent readiness gaps in training and process optimization. The survey collected feedback from IT, HR, finance and supply chain professionals primarily in healthcare and public sector organizations running both legacy Lawson and cloud-based Infor ERP systems.
For technology executives managing Infor environments, the findings signal a practical day-to-day shift: as organizations transition from on-premise systems to CloudSuite deployments, teams must simultaneously address foundational process redesign and skill gaps to capitalize on cloud-native capabilities like embedded AI workflows, real-time analytics and automated integrations.
The survey’s emphasis on modernization readiness reflects broader ERP market dynamics where cloud adoption continues to outpace organizational change management capacity. Legacy Lawson users face decisions around upgrade paths to CloudSuite, which requires not just technical migration but workflow reconfiguration to leverage Infor’s cloud-native tools including Infor OS (ION) for integration orchestration and Infor Process Automation for no-code business process modeling. Organizations reporting successful cloud transitions prioritized discovery and planning phases that aligned system capabilities with operational requirements before technical cutover, reducing post-migration friction and accelerating time-to-value.
AI Integration and Operational Preparedness
The survey identified growing momentum around AI integration within Infor environments, though implementation readiness varies significantly across organizations. Infor’s embedded AI capabilities, delivered through its cloud platform, enable predictive analytics for inventory optimization, demand forecasting and maintenance scheduling, but effective deployment requires clean master data and well-defined business processes. Organizations struggling with AI adoption often cite data quality issues, insufficient training on new capabilities, and unclear use cases connecting AI outputs to operational decisions.
Technology executives evaluating Infor modernization strategies should prioritize platforms offering native integration frameworks like ION that eliminate data silos and enable bidirectional updates across ERP, HR, supply chain and third-party systems without custom middleware. The survey’s findings reinforce that cloud migration success depends less on technical cutover execution and more on process optimization, change management and ongoing user training to ensure teams can operate cloud-native workflows effectively.
RPI Consultants emphasized that the survey’s value originates from practitioners who engage with Infor systems daily, providing ground-level insights into adoption challenges that vendors and implementation partners can address through targeted support. For healthcare and public sector organizations, which represented the survey’s primary respondent base, Infor’s vertical-specific CloudSuite offerings provide pre-configured workflows for regulatory compliance, grant management and patient financial operations, reducing customization requirements compared to horizontal ERP platforms.
What This Means for ERP Insiders
Cloud migration momentum exposes persistent gaps. RPI’s survey reveals Infor users are migrating to CloudSuite at accelerating rates, yet organizations continue to struggle with process optimization, training deficits and AI integration challenges that undermine cloud ROI. Transformation leaders should structure cloud migration roadmaps around organizational change management milestones rather than technical cutover dates, prioritizing discovery phases that align system capabilities with operational workflows before go-live.
AI adoption readiness gaps create opportunities for GSIs. The survey’s identification of AI integration momentum alongside implementation uncertainty indicates that Infor customers recognize AI’s strategic importance but lack frameworks connecting predictive analytics outputs to operational decisions. Enterprise architects should position AI enablement as requiring foundational investments in master data quality, business process documentation and KPI definition before deploying predictive models, recognizing that organizations struggling with AI adoption cite unclear use cases rather than technical platform limitations.
Annual community surveys signal the growing importance of practitioner feedback. RPI’s emphasis on insights originating from daily system users rather than vendor roadmaps reflects a market maturation where ERP selection and optimization decisions prioritize operational outcomes over feature breadth. ERP vendors should invest in structured feedback mechanisms capturing ground-level adoption challenges, training gaps and integration friction points that shape product roadmaps and support models aligned with actual user needs.
