---
title: "Process Management News Round-Up: February 2025 Edition"
description: Dive into the February 2025 edition of Noreja News Round-Up, your guide to the latest trends and breakthroughs in Business Process Management.
image: https://blog.noreja.com/hubfs/DALL%C2%B7E-2025-02-10-10.55.02-Create-a-tapestry-in-a-16_9-ratio-consistent-with-the-established-artistic-style-visualizing-the-integration-of-AI-with-process-intelligence-agenti%20(1).webp
---

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BPM News Round-Up

# Process Management News Round-Up: February 2025 Edition

![Lukas Pfahlsberger](https://app.hubspot.com/settings/avatar/6b6ceb34347ba3ac2667e67af4e9f63f)

 Lukas Pfahlsberger

February 28, 2025

Welcome to the February 2025 edition of the Process Management News Round-Up. In this month’s blog, we spotlight the latest developments in business process management (BPM), including the integration of artificial intelligence (AI) with process intelligence to achive enhanced efficiency.

Recent studies underscore the critical importance of combining these technologies to fully realize their potential. 

## **The Imperative of Combining AI with Process Intelligence** 

 

A recent [study by Celonis](https://www.celonis.com/press/celonis-research-unveils-89-percent-of-business-leaders-say-ai-without-process-intelligence-fails-to-deliver-expected-results/) reveals that a significant majority of business leaders believe AI initiatives fall short of expectations when not integrated with process intelligence. This finding highlights the necessity of a synergistic approach to harness the full capabilities of AI in business processes. 

 

## T**he Role of Agentic AI in Process Optimization**  

The [concept of agentic AI](https://www.processexcellencenetwork.com/ai/articles/process-intelligence-agentic-ai), referring to autonomous AI agents capable of making independent decisions, is gaining traction in the BPM sphere. When combined with process intelligence, agentic AI brings organizations closer to self-improving and adaptive processes, enhancing operational efficiency and responsiveness. 

 

## **Generative AI in Manufacturing: A Case Study** 

 

In the manufacturing sector, the [integration of generative AI with process intelligence](https://erp.today/gen-ai-in-manufacturing-finding-value-with-process-intelligence/) has proven beneficial. For instance, one company discovered numerous process variations, with only half following the ideal path. By leveraging generative AI within process intelligence, the organization identified root causes such as supplier delays and poor forecasting, enabling targeted improvements. 

 

## **Conclusion**

 

The convergence of AI and process intelligence is not merely advantageous but essential for organizations striving for excellence in BPM. The highlighted studies demonstrate that integrating these technologies leads to more informed decision-making, streamlined operations, and enhanced adaptability. As the BPM landscape continues to evolve, embracing the synergy between AI and process intelligence will be pivotal for sustained success. 

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