Enterprise AI Adoption Impact Index Finds More than Half of Businesses Struggle to Scale AI. New Infor Solutions Aim to Close the Gap
Infor is betting that the future of enterprise AI isn’t just about smarter tools — it’s about delivering measurable business outcomes. In a recent Press Release, Infor unveiled expanded capabilities across its Velocity Suite and introduced an enhanced version of its Agentic Orchestrator, both aimed at helping companies move beyond AI pilots and into real-world scale. The timing makes sense. According to Infor’s new Enterprise AI Adoption Impact Index, nearly half of organizations are still stuck in the early stages of AI deployment, despite 80% of business leaders saying they feel capable of managing AI implementations. The biggest blockers? Data security and compliance concerns, lack of internal AI talent, and uncertainty around ROI.
Infor’s answer is a more industry-specific approach to AI. CEO Kevin Samuelson emphasized that AI agents need deep operational context to be effective — a healthcare purchasing agent shouldn’t behave the same way as one built for manufacturing. The updated Velocity Suite now includes industry-focused AI agents, prebuilt automation libraries, curated AI use-case packs, and managed services support after deployment. Infor also highlighted a new warehouse optimization tool that reportedly reduced travel distance by up to 25% for some customers.
Meanwhile, the enhanced Agentic Orchestrator is designed to coordinate complex AI workflows across systems while maintaining transparency and human oversight. New capabilities focus on orchestration, interoperability, and observability — key concerns for enterprises trying to trust AI with mission-critical operations. The broader message from Infor is clear: businesses don’t just want AI experimentation anymore. They want secure, explainable, industry-ready AI that can deliver value quickly and predictably.
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