Author:
UiPath
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Language:
English

Preparing for the Agentic Era

January 2025
Digital

The promise of enterprise AI—and particularly generative AI (GenAI)—has reached an inflection point. While demand for this technology has skyrocketed in the last few years, the applications for and value of GenAI as a standalone technology may have plateaued. Large language models (LLMs) can be useful for content creation but are limited in their ability to provide actionable intelligence to workers, integrate with other business applications and systems, and ensure governance, security, and trust. These complications make it clear that while AI is rapidly changing businesses, it needs further evolution to create meaningful impact. Enter the agentic era, where AI agents, automation, and people combine to perform more complex autonomous business workflows. But how will this new age of AI transform the enterprise? And are IT and business workforces prepared?

To understand this shift, we surveyed more than 250 U.S. IT executives at companies with revenue over $1 billion and held qualitative interviews with senior technology leaders regarding their awareness of and interest in agentic AI. The following report indicates excitement for agentic AI is palpable, and early adoption is underway—though there are risks that enterprises must consider to harness the full power of the technology.

Contents:

  • Key Findings
  • The state of AI and automation today
  • Concerns with existing AI
  • Why technology leaders are turning to agentic AI
  • Enterprise workflows in the agentic era
  • Preliminary concerns with agentic AI
  • Key considerations for agentic implementation

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Preparing for the Agentic Era

January 2025
Digital

The promise of enterprise AI—and particularly generative AI (GenAI)—has reached an inflection point. While demand for this technology has skyrocketed in the last few years, the applications for and value of GenAI as a standalone technology may have plateaued. Large language models (LLMs) can be useful for content creation but are limited in their ability to provide actionable intelligence to workers, integrate with other business applications and systems, and ensure governance, security, and trust. These complications make it clear that while AI is rapidly changing businesses, it needs further evolution to create meaningful impact. Enter the agentic era, where AI agents, automation, and people combine to perform more complex autonomous business workflows. But how will this new age of AI transform the enterprise? And are IT and business workforces prepared?

To understand this shift, we surveyed more than 250 U.S. IT executives at companies with revenue over $1 billion and held qualitative interviews with senior technology leaders regarding their awareness of and interest in agentic AI. The following report indicates excitement for agentic AI is palpable, and early adoption is underway—though there are risks that enterprises must consider to harness the full power of the technology.

Contents:

  • Key Findings
  • The state of AI and automation today
  • Concerns with existing AI
  • Why technology leaders are turning to agentic AI
  • Enterprise workflows in the agentic era
  • Preliminary concerns with agentic AI
  • Key considerations for agentic implementation