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13AI Agents Emerge as a Strategic Priority in the Enterprise AI Evolution
7Organizations See Security and Human Oversight as the Most Critical Challenges…
5IT Departments Emerge as Primary Drivers of AI Agent Strategy
6Strategic Partnerships Drive AI Agent Implementation
6AI Agent Business-impact Timeline Reveals an Extended Adoption Horizon
5Conclusion
1Research Methodology
1Respondent Demographics
Research Report: AI Agents: The Game-changing Generative AI Use Case
Research Report
Aug 22, 2025
by
Mark Beccue, Emily Marsh, Enterprise Strategy Group Research
AI agents and agentic AI are enabling AI applications to work without human intervention, gather and understand environmental data, make decisions, and take actions. This type of automation could trigger exponential productivity gains and unlock new revenue streams. As such, AI agents have begun moving to the forefront of AI initiatives.
However, while organizations acknowledge the transformative potential of AI agents, they also acknowledge the associated implementation complexities. Indeed, organizations can struggle to understand what AI agents can do or where to deploy them due to a lack of knowledge and experience with the technology. This includes uncertainty about interoperability, standards, and AI agent saturation, among other concerns.
To gain further insights into these trends, Enterprise Strategy Group surveyed 350 technical and business stakeholders in North America (U.S. and Canada) involved in the strategy, decision-making, selection, deployment, and management of generative AI initiatives and projects for their organization.
Page Count: 24
Table of Contents
Executive Summary(6)
Report Conclusions(6)
Introduction(21)
Research Objectives(21)
Research Findings(37)
AIAgents Emerge as a Strategic Priority in the Enterprise AI Evolution(13)
Organizations See Security and Human Oversight as the Most Critical Challenges and Risks With AIAgent Adoption (7)
IT Departments Emerge as Primary Drivers of AIAgent Strategy(5)
