Infor Research Reveals Critical "Agentic AI Execution Gap" as Enterprises Struggle to Scale-AI Topic

Despite soaring business confidence in Artificial Intelligence, a significant disconnect remAIns between ambition and reality. New research from Infor indicates that over half of businesses are struggling to scale AI initiatives, hindered by an "execution gap" that prevents the realization of tangible value.

To bridge this divide, Infor has unveiled new capabilities within its Velocity Suite and Infor Agentic Orchestrator, aiming to deliver industry-specific AI solutions that move beyond generic automation.

The Widening Execution Gap

While confidence in AI is at an all-time high, the Operational reality of deploying these technologies is fraught with challenges. Infor’s study, conducted across the US, UK, France, and Germany, highlights that structural bARRiers are preventing effective execution, even among organizations that believe they are prepared.

Readiness vs. Reality: APProximately 70% of businesses in the US and 74% in the UK claim the capability to manage AI Implementation. However, this perceived readiness fails to translate into successful scaling.
Industry-Specific Hurdles: The execution gap manifests differently across sectors:

ManufACTuring: Plagued by legacy infrastructure.
Healthcare: Hindered by complex governance and compliance requirements.
Distribution: Burdened by fRAGmented data across supply chains.

Infor argues that embedding generic AI into these complex workflows without accounting for underlying operational realities leads to unscalable outcomes.

Infor’s Strategic Response: Industry-Specific Agentic AI

To address these challenges, Infor is leverAGIng its Industry Cloud Platform to provide Agents with the "contextual precision" that generic models lack.

"At Infor, agentic AI isn’t a feature we bolted on. It’s the culmination of two decades of deliberate foundation building," says Kevin Samuelson, CEO of Infor. "Our industry-specific platforms, multi-tenant architecture, and deep process Intelligence give our agents a level of contextual precision that generic AI simply cannot replicate."

Samuelson emphasizes that a purchasing agent for a healthcare provider operates fundamentally differently from one in discrete manufacturing. This specificity is crucial for articulating and delivering measurable ROI.

Key Barriers: Data Security and Talent

A primary theme emerging from the research is the profound concern regarding data security and integrity.

Data Sovereignty & Privacy: A significant portion of businesses cite security concerns as a major blocker. This includes 45% of respondents in the UK, 34% in the US and Germany, and 32% in France.
Data Maturity: Only 25% of businesses believe their data is mature enough to support reliable AI.
Other Barriers: The lack of internal AI talent (25%), unclear ROI (23%), and high costs (23%) also rank as significant impediments to implementation.

The Solution: Orchestration, Interoperability, and Observability

Infor’s updated platform capabilities are designed to transition AI Agents from isolated tasks to coordinated workflows through three core pillars:

Orchestration: The platform supports multi-agent operations involving supervisor agents and specialized task agents. Supervisor agents are pre-trained to flag anomalies, ensuring a "human-in-the-loop" approach for critical decision-making.
Interoperability: Utilizing the Standardized Model Context Protocol (MCP), the Infor Agentic Orchestrator facilitates secure actions and data access, alleviating integration concerns.
Observability: To ensure trust and transparency, new visibility features offer:

Inline Thoughts: Visibility into the agent's reasoning process.
evaluation Frameworks: Tools to assess agent performance.
Focus Mode: Enhanced user control and oversight.

Industry Validation

The shift toward a "trusted, transparent infrastructure" appears to be resonating with the market. Mickey North Rizza, Group Vice-President of enterprise software for IDC, notes the efficacy of Infor's approach:

"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."

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Infor Research Reveals Critical "Agentic AI Execution Gap" as Enterprises Struggle to Scale

The Widening Execution Gap

Infor’s Strategic Response: Industry-Specific Agentic AI

Key Barriers: Data Security and Talent

The Solution: Orchestration, Interoperability, and Observability

Industry Validation

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