Publication Date:

2025

Publisher:

UiPath

# of Pages:

17
2025 UiPath Agentic AI Report: Preparing for the Agentic Era

TLDR:

Key Insight: Agentic AI is the next evolution of enterprise AI, where autonomous agents orchestrate workflows, make decisions, and interact across systems with minimal human involvement. Major Impact: 37% of IT leaders are already adopting Agentic AI, with 93% showing strong interest, despite challenges in security, integration, and governance. Actionable Takeaway: Enterprises should combine automation, AI orchestration, and governance frameworks to ensure AI agents operate effectively while maintaining necessary human oversight.

Summary

The UiPath 2025 Agentic AI Report explores the rise of autonomous AI agents and their impact on enterprise automation, AI-driven workflows, and workforce transformation. The report highlights how businesses are integrating AI agents into their operations and the challenges they face in doing so.


Key Takeaways:

  • From Generative AI to Agentic AI – Traditional Generative AI and LLMs have limitations in executing end-to-end business processes, whereas Agentic AI enables workflow orchestration, decision-making, and autonomous system interactions.
  • Enterprise AI Adoption & Automation Trends – 90% of IT leaders are using AI-driven process automation, with Agentic AI adoption at 37% and rising, focusing on process automation, document processing, and predictive analytics.
  • AI Agents Enhance Workflow Orchestration – Agentic AI integrates RPA, AI models, and predictive analytics to create self-learning workflows that continuously improve business processes.
  • Key Use Cases for Agentic AI in Enterprises – AI agents are being deployed for IT process automation, security monitoring, fraud detection, compliance automation, clinical research, and patient data analysis.
  • Challenges Facing Agentic AI Adoption – 56% of IT leaders cite security risks related to AI decision-making and 35% report difficulties integrating AI agents with existing enterprise systems. Governance, compliance, and AI explainability remain top concerns.
  • The Path to Agentic AI Maturity – Organizations must prioritize AI observability and governance, implement AI agents gradually, and maintain human oversight to ensure ethical AI deployment.

What This Means for Enterprises in 2025

The Agentic AI revolution is transforming workflows, process optimization, and decision-making. Organizations that successfully integrate AI agents with automation tools will gain a significant competitive advantage in the AI-powered economy.


For further insights, refer to the UiPath 2025 Agentic AI Report.

Tags

Agentic AI, AI Automation, AI Orchestration, AI-Driven Workflows, Enterprise AI

ITOpsAI Hub

A living library of AI insights, frameworks, and case studies curated to spotlight what’s working, what’s evolving, and how to lead through it.

What you’ll find in AI Blogs & Insights:

  • Practical guides on AIOps, orchestration, and AI implementation
  • Use case breakdowns, frameworks, and tool comparisons
  • Deep dives on how AI impacts IT strategy and operations

Explore the Blog
Many AI tools symbols in a vertical row. colors purple and blue.

What You'll Find in Resources:

  • Curated reports, research, and strategic frameworks from top AI sources
  • Execution guides on governance, infrastructure, and data strategy
  • Trusted insights to help you scale AI with clarity and confidence

Browse Resources
AI Brain on a circuit board. Colors purple, blue

What You'll Find in Case Studies:

  • Vetted examples of how companies are using AI to automate and scale
  • Measurable outcomes from infrastructure, IT, and business transformation
  • Strategic insights on execution, orchestration, and enterprise adoption

Explore All Case Studies