Welcome to the 1st ICPM Workshop on Process Mining for Intelligent, Sustainable, and Explainable AI-Driven Systems 

 (PROMISE 2027)

This event is co-located with the 8th International Conference on Process Mining, ICPM 2027

🗓️  7 - 12 February, 2027

📍 Rende (Italy)

AIM & SCOPE

The aim of PROMISE 2027 is to establish a premier interdisciplinary forum that brings together researchers, practitioners, and industry experts to explore the convergence of Process Mining, Artificial Intelligence, Process Intelligence, and Sustainable Digital Transformation. The workshop seeks to advance the development of intelligent, explainable, privacy-preserving, and sustainable process-aware systems by fostering discussions on innovative methodologies, emerging technologies, and real-world applications. It aims to promote collaboration between academia and industry while identifying future research directions that enhance process discovery, monitoring, prediction, and optimization in increasingly complex digital ecosystems. 

PROMISE 2027 welcomes original research contributions, industrial experiences, visionary ideas, and case studies addressing theoretical advances, algorithmic developments, system implementations, and practical applications in AI-enhanced process mining. The workshop particularly focuses on integrating emerging AI paradigms, including Large Language Models (LLMs), Agentic AI, Generative AI, Federated Learning, Digital Twins, and Sustainable AI—with process mining to enable intelligent and responsible process analytics. Topics of interest include, but are not limited to:

• AI-enhanced process discovery and conformance checking

• Machine learning and deep learning for process intelligence

• Large Language Models and Agentic AI for process mining

• Explainable and trustworthy AI for process analytics

• Federated and privacy-preserving process mining

• Sustainable, energy-efficient, and green AI for process intelligence

• Predictive and prescriptive process analytics

• Process recommendation and decision support systems

• Digital twins for business process optimization

• Secure and scalable process analytics platforms

• Process mining applications in healthcare, manufacturing, smart cities, agriculture, logistics, education, and public administration

• Responsible AI, ethical considerations, and governance in process-aware information systems

• Industrial case studies, benchmark datasets, tools, and practical deployments of AI-driven process mining solutions. 

This scope reflects the workshop's vision of advancing next-generation intelligent, explainable, sustainable, and human-centric process mining, fostering collaborations that bridge methodological innovation with impactful real-world applications.