UiPath research finds data quality, integration and governance are preventing many large enterprises from moving Agentic AI projects beyond the pilot stage.
Less than a third of large enterprises have fully embedded Artificial Intelligence across their businesses, according to research from UiPath.
The survey of 590 C-Suite and IT professionals at companies with annual revenues of at least US$1 billion found 31% have fully embedded AI, while 35% have adopted it on a limited basis among selected teams and 11% remain in the pilot stage.
Data quality and readiness was the most frequently cited obstacle to optimising Agentic AI deployments, identified by 38% of respondents.
Integration with existing workflows and systems followed at 37%, while 33% identified governance and compliance as a challenge.
“The gaps between experimentation and enterprise deployment are known, and often come down to data, integration, and governance challenges, and the necessary enterprise context, that keep ROI out of reach,” said Raghu Malpani, Chief Product and Technology Officer at UiPath.
Among organisations that have fully embedded orchestration capabilities, 89% said their Agentic AI implementations had met or exceeded ROI expectations.
However, only 29% of organisations have fully embedded orchestration within their workflows.
Some 36% expect AI agents to play a significant role in enterprise workflows during the next 12 months, while 52% plan to apply AI to hybrid workflows combining static and dynamic processes.
The research covered the US, UK, France, Germany, India and Singapore.
