Celonis, a global leader in process intelligence and mining, has presented its Ten Trends in Process Intelligence for 2025, a strategic vision that anticipates how the integration of advanced technologies such as artificial intelligence (AI), machine learning, and real-time data platforms will transform business operations in the near future.
Process Intelligence: The Core of Business AI
Process intelligence is emerging as the cornerstone for unlocking the full potential of AI in the business realm. This approach enables organizations to understand, optimize, and automate their operations through data analysis and the creation of living digital twins that reflect real-time process dynamics.
Fernando Ranz, Vice President and Country Manager for Iberia and Latin America at Celonis, emphasizes: “When processes function effectively, companies are more productive, efficient, and sustainable. This drives collective progress towards more sustainable economic growth that benefits the planet.”
The 10 Trends in Process Intelligence for 2025
- Process Intelligence as the Foundation of Business AI:
Business AI will be much more effective when integrated with process intelligence, which provides the necessary context to understand workflows and operational metrics. This will enable AI to evolve from being generic to becoming a strategic asset capable of generating customized automations. - Collaborative Networks for Efficient Value Chain Management:
Collaborative networks will allow for data sharing and more agile, informed decision-making. This trend will optimize supply chains and transform interactions between companies. - Evolution of Digital Twins into Active Platforms:
Previously static digital twins will evolve into dynamic platforms that offer a comprehensive and real-time view of business operations, reducing silos and allowing for more agile responses to market changes. - New Levels of Predictive Analytics:
The combination of process intelligence with AI and machine learning will allow for forecasting disruptions, adjusting operations in real time, and optimizing outcomes. This will enable a shift from reactive to proactive models in business management. - Command Centers to Eliminate Organizational Silos:
Command Centers will become the central hub for business collaboration, integrating data from multiple sources to align teams and enhance decision-making at both operational and executive levels. - Agent-based AI for Autonomous Process Optimization:
Autonomous AI agents will be essential for optimizing workflows in real time, reducing manual intervention, and unlocking new efficiencies across the organization. - Process Intelligence as the Basis for Decision-Making:
Process mining will evolve into more advanced systems that integrate real-time data, predictive, and generative analytics, facilitating the creation of living digital twins that accurately reflect business operations. - Agile Optimization for Large-Scale Transformations:
Iterative approaches based on process intelligence will be critical for swiftly adapting operations to technological and market changes, ensuring continuous improvement. - AI Compliance and Regulatory Frameworks:
As global regulations, such as the EU AI Act, evolve, companies will need to implement robust frameworks to ensure compliance and data protection, balancing innovation with regulation. - Real-Time Monitoring of Compliance and ESG:
Companies will have to monitor and adapt their sustainability and compliance efforts in real-time, ensuring they can swiftly respond to regulatory changes and minimize the risk of penalties.
Driving Sustainability and Efficiency
The ten trends highlight how process intelligence will be key to addressing global challenges such as sustainability and regulatory compliance. Integrated real-time systems will enable companies to inform and act more nimbly in response to increasing regulatory demands and ESG goals.
A Step Towards the Future
With this ten trends document, Celonis reaffirms its leadership in digital business transformation, laying the groundwork for organizations to be not only more efficient and profitable but also more sustainable and resilient in an increasingly dynamic world.