Celonis has launched its Process Intelligence Trends Decalogue, a guide that shows how organizations can use process intelligence to achieve better business results in 2025. These trends highlight the integration of advanced technologies such as AI, ML and platforms of real-time data with process optimization to transform business operations.

Process intelligence is crucial to any enterprise AI strategy as it provides the context needed to understand how businesses operate.

“Processes are the engine of the world. When they work well, companies become more productive, efficient and sustainable. By collaborating effectively both internally and with other companies, companies can make better decisions and move forward with less effort. Thus, the planet prospers by reducing waste and emissions, and promoting innovation for long-term sustainable growth,” comments Fernando Ranz, vice president and Country Manager for Iberia and Latin America at Celonis.

Process intelligence in 2025

These are the trends in process intelligence for 2025:

  1. Process intelligence will be the basis of enterprise AI: AI models are powerful, but they lack contextual understanding of business processes. Process intelligence fills this gap by providing a digital twin of operations, allowing AI to deliver actionable insights and automations tailored to the needs of each organization. Thus, AI becomes a strategic asset.
  2. Collaboration networks will transform industries: Traditional methods of data management in value chains are slow and error-prone. Collaboration networks offer a shared data platform that allows for faster and more informed decisions. Companies will increasingly adopt these networks to improve transparency and optimize business-to-business operations.
  3. Digital twins will evolve into process intelligence platforms: Digital twins will become dynamic platforms that will provide a comprehensive, real-time view of company operations. This change ensures that companies can quickly adapt to market changes, reduce operational silos and drive continuous improvements.

Celonis presents its Decalogue of trends in process intelligence for 2025

  1. Process intelligence will drive predictive analytics: The combination of process intelligence with AI and machine learning is developing predictive analytics in companies, allowing them to move from reactive to proactive operations. This allows you to anticipate interruptions, adjust in real time and optimize results based on data.
  2. Command Centers will change business collaboration: Command Centers, using unified data systems, will be essential for collaboration in 2025, especially in the supply chain. These hubs will allow teams to align around shared metrics and data, fostering more effective collaboration.
  3. Agentic AI will optimize processes autonomously: The future of enterprise AI is heading towards autonomous systems that can execute tasks and optimize workflows in real time. These AI agents will transform operations by reducing manual interventions and increasing efficiency.
  4. Process intelligence will be key to decision making: Process mining has evolved into process intelligence, which includes event data, process mining capabilities, business context and regulatory process models, as well as predictive and generative AI. This creates a “living digital twin” of the company’s operations.
  5. Agile process optimization will be essential for the transformation: Agile approaches to process optimization will become the norm for large-scale transformation initiatives. Companies need to continually adapt their processes to new technologies and market conditions.
  6. New compliance frameworks for AI: With the development of global regulations on AI, such as the EU AI Law, companies face higher expectations for managing and protecting user data.
  7. Real-time monitoring of regulatory compliance will be essential for ESG: As governments focus more on sustainability, companies will face stricter reporting requirements and compliance standards. They will need systems that can monitor and adapt sustainability efforts in real time to ensure compliance and avoid penalties.
Alex Chen
Alex Chen

Alex Chen serves as the chief editor of Asia Tech Journal, bringing over a decade of experience in technology journalism. Previously writing for several globally renowned publications, Alex is celebrated for his insightful analyses and in-depth reporting on tech trends across Asia. Passionate about innovation, Alex specializes in the dynamic technology ecosystem of China and its global impacts.