Enterprises Face Barriers in Scaling Agentic AI

Enterprises around the world are advancing toward operationalizing agentic AI, autonomous systems capable of reasoning, planning, and executing tasks, but widespread adoption remains hampered by infrastructure limitations, governance gaps, and integration challenges. Recent surveys of executives and technology leaders reveal that while enthusiasm for AI's productivity and innovation potential is high, only a fraction of organizations have moved beyond pilots to scalable implementations.

Agentic AI, which goes beyond generative tools by enabling systems to interact with enterprise applications, data, and workflows, promises to automate complex processes like supply chain rerouting or customer support resolution. For instance, an AI agent could detect a shipping delay, assess its impact, and adjust inventory while notifying stakeholders. However, experts note that legacy systems, siloed data, and lengthy development cycles often stall progress. A survey of global executives found that 64 percent cite governance, transparency, and compliance as top concerns, underscoring the need for platforms that embed security and monitoring from the outset.

In Europe, these hurdles are...