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.
Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.