Top trends in process intelligence and AI in 2025 revealed

Celonis has unveiled what it believes to be the top ten trends for Process Intelligence in 2025, emphasising the transformative impact these developments will have across various enterprises.

Pascal Coubard, the APAC Leader for Celonis, has stated that the integration of technologies such as Artificial Intelligence (AI), machine learning, and real-time data platforms with process optimisation is set to redefine operational frameworks in organisations. "Process intelligence is essential to any enterprise AI strategy because it gives AI the context it needs to understand how businesses operate," he explained.

Highlighting the importance of efficient processes, Coubard commented, "Processes make the world go round. When processes work, everything works better as companies become more productive, more efficient, and more sustainable. They're able to collaborate effectively internally and with other companies, make the best decisions, and accelerate progress with minimal effort and waste." He added, "And the planet thrives as we cut down waste, emissions and drive innovation in pursuit of long-term sustainable growth."

The first trend identifies Process Intelligence as the foundation of all Enterprise AI. Foundational AI models are seen as lacking contextual business understanding, and Process Intelligence is posited to bridge this gap by creating a "living digital twin" of operations. This development aims to transform AI capabilities from being generic to becoming a strategic enterprise asset.

Collaborative networks, according to Celonis, will remove old operational barriers and redefine industries. These networks are expected to improve data sharing across value chains, thereby facilitating more informed decision-making and optimising cross-company operations.

Celonis predicts that Digital Twins will evolve into Process Intelligence Platforms, providing a real-time, dynamic view of enterprise operations driven by AI. This trend will facilitate organisations to adapt more swiftly to market changes and reduce operational silos.

The integration of Process Intelligence with AI and machine learning is expected to enable new levels of predictive analytics. This will allow enterprises to move towards proactive operations, predicting disruptions, and optimising outcomes using AI-powered forecasting.

Command Centre platforms are foreseen as key to eliminating silos and transforming organisational collaboration. These platforms will enable supply chain teams to operate with unified data, enhancing alignment across various enterprise functions.

The introduction of Agentic AI signifies a move towards autonomous process optimisation, which will reduce the need for manual interventions and improve operational efficiency.

Process Intelligence is projected to become a critical foundation for all Enterprise decision-making by integrating data across systems and creating a "living digital twin" of operations.

The shift towards agile process optimisation is anticipated to extend beyond traditional approaches, requiring continuous adaptability to technological and market changes, supported by real-time insights.

New compliance frameworks, particularly in response to global AI regulations like the EU AII Act, indicate heightened expectations for managing user data. Integrated regulatory compliance tracking during this period will become crucial.

Finally, organisations will need real-time systems to track and report on sustainability efforts due to increasing regulatory scrutiny on sustainability. Such systems will be vital to ensure compliance and avoid penalties amidst evolving regulatory landscapes.