Infor has released new AI orchestration capabilities—including the limited-availability Infor Agentic Orchestrator and enhanced Velocity Suite—amid findings from its Enterprise AI Adoption Impact Index showing 49% of surveyed firms remain in pilot or partial AI rollout stages. Barriers include data security concerns (36%), AI talent shortages (25%), and unclear ROI (23%). Real-world implementations report up to 25% less warehouse travel distance and 15% faster picking. The tools emphasize industry-specific agents, open interoperability protocols, and observability to address scaling and trust gaps.
According to roboticsandautomationnews.com, Infor has launched new AI orchestration tools—including updates to its Infor Velocity Suite and limited availability of the Infor Agentic Orchestrator—amid research showing that nearly half of enterprises remain stuck in early AI deployment stages.
AI Adoption Stalls at Pilot Stage
The findings come from the Infor Enterprise AI Adoption Impact Index, a survey of 1,000 business decision-makers across the US, UK, Germany, and France. While 80 percent believe they possess internal capability to implement AI, 49 percent are still operating only in pilots or partial rollouts. Key barriers include:
- Data security and compliance concerns (36 percent)
- Lack of internal AI talent (25 percent)
- Unclear return on investment (23 percent)
Additional trust-related challenges emerged: 27 percent questioned whether their data is mature enough for AI, and 31 percent expressed discomfort with autonomous agents handling critical processes. On average, nearly half of AI-generated outputs still require manual review.
Industry-Specific AI Tools Address Scaling Gaps
Infor’s updated Velocity Suite expands access to Industry AI Agents and introduces curated AI use-case packs, pre-built automation tools, and managed services designed to accelerate deployment. A warehouse-focused add-on for its warehouse management system leverages machine learning for pick path optimization—delivering up to a 25 percent reduction in travel distance in some cases.
The Infor Agentic Orchestrator, now in limited availability, coordinates multiple AI agents across enterprise workflows. It supports complex task orchestration, interoperability across applications via an open Model Context Protocol, and new observability tools to improve transparency and control.
Practitioner Perspectives
“Since moving to Infor’s multi-tenant cloud, we see improvements appear in the system without having to request them. Infor Agentic Orchestrator is the next step in that evolution: instead of our service engineers searching for answers, the intelligence comes to them.” — Zoaib Saifuddin, general manager of IT at AMADA America
“With Infor’s AI driven Pick Path Optimization, we have elevated our warehouse operations to the next level. By intelligently leveraging real time data, we achieve 15 percent faster picking and 25 percent less travel distance. This leads to better utilization of our workforce and reduces our dependence on temporary staff.” — Vera Janssens, supply chain analyst at Coram International
“With Infor Velocity Suite, we can grow rapidly without expanding resources at the same pace. Starting with customer order entry as our first automation, it provided a simple, practical path to AI – freeing our team to focus on higher-value customer engagement.” — Jamarl Scace, digital and IT lead at Kattsafe
Kevin Samuelson, CEO of Infor, emphasized contextual precision: “A purchasing agent at a healthcare provider and one at a discrete manufacturer aren’t the same agent, they shouldn’t be. That specificity is what allows us to clearly articulate the ROI, and deliver on it.”
Mickey North Rizza, group vice-president for enterprise software at IDC, added: “It is very clear that Infor’s clients are finding sustained economic value with their path to the agentic enterprise and they love the journey with Infor.”
Source: Robotics & Automation News
Compiled from international media by the SCI.AI editorial team.
