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Cio PulseNewsCommunity Survey Reveals Cloud Migration Progress Alongside AI Adoption Gaps
Community Survey Reveals Cloud Migration Progress Alongside AI Adoption Gaps
CIO PulseAIEnterpriseSaaS

Community Survey Reveals Cloud Migration Progress Alongside AI Adoption Gaps

•February 13, 2026
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ERP Today
ERP Today•Feb 13, 2026

Why It Matters

The gap between cloud migration speed and change‑management capacity threatens ROI, while AI readiness gaps create a service opportunity for system integrators and vendors to drive deeper value.

Key Takeaways

  • •Cloud migration accelerating across Infor user base.
  • •Process redesign and training gaps hinder cloud ROI.
  • •AI adoption limited by data quality and use‑case clarity.
  • •Successful moves prioritize discovery and alignment phases.
  • •GSIs can fill AI enablement and change‑management gaps.

Pulse Analysis

The surge in Infor CloudSuite deployments reflects a broader ERP shift toward subscription‑based, scalable platforms. Organizations are attracted by real‑time analytics, integrated AI, and reduced infrastructure overhead, yet the survey reveals that many migrations are still anchored to legacy processes. Companies that invest early in a comprehensive discovery phase—mapping current workflows to cloud‑native capabilities—experience smoother cut‑overs and faster time‑to‑value. Conversely, those that treat migration as a purely technical exercise often encounter post‑go‑live friction, higher support costs, and delayed benefits.

Artificial intelligence is the next frontier for Infor customers, promising predictive insights for inventory, demand, and maintenance. However, the survey shows that AI projects stall when master data is fragmented or when business users lack clear scenarios linking model outputs to decisions. Embedding AI effectively requires clean data pipelines, well‑documented processes, and targeted training programs. Platforms like Infor OS (ION) that provide native integration reduce data silos, but success still depends on disciplined change management and a clear governance model for AI‑driven actions.

For ERP vendors and global system integrators, the findings highlight a lucrative niche: bridging the gap between cloud infrastructure and operational excellence. GSIs can differentiate themselves by offering end‑to‑end services that combine migration planning, process reengineering, and AI enablement workshops. Moreover, the emphasis on practitioner‑driven feedback suggests that future product roadmaps will need to incorporate real‑world usability data, especially for vertical CloudSuite solutions in healthcare and the public sector. Companies that align their modernization strategies with these insights are poised to capture higher cloud ROI and stay competitive in an increasingly AI‑centric market.

Community Survey Reveals Cloud Migration Progress Alongside AI Adoption Gaps

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