October 24th and 31st 2025
The main objective of BPMuy is to promote the dissemination of various advances and approaches related to
the topic, as well as the application of knowledge and success stories, fostering collaborations among
different stakeholders to leverage ICTs and improve management in the country's organizations.
BPMuy will be held on October 24 and 31, 2025 in Facultad de Ingeniería, UdelaR.
On October 24 it will be co-located with the 7th International
Conference on Process Mining (ICPM 2025).
The event is open to the public, with prior registration required.
The event will feature internationally renowned guest speakers in the areas of Business Process Management (BPM) and Process Mining, who will present the fundamentals and applications of topics such as Robotic Process Automation (RPA) and Agentic Automation (APA) in different domains, with Generative AI (GenIA), Process Intelligence, Process Mining, Simulation, and Collaborative Processes.
The local team has experience and has taught courses in the area of Process Mining and Business Process Management (BPM), and will present process mining applications for collaborative processes in e-Government.
Main Auditorium, "José Luis Massera" Annex Building
RPA offers organizations significant opportunities to reduce costs, improve accuracy, and free up employees for higher-value work, but realizing these benefits requires a strategic approach that goes beyond selecting automation tools. This presentation examines practical methods for maximizing RPA value from initial process analysis through ongoing maintenance. Many RPA projects fail to deliver expected returns because teams rely on outdated or incomplete process documentation that does not reflect how work gets done. New approaches use direct observation and monitoring to understand real processes, combined with systematic frameworks for deciding which tasks will deliver the greatest automation benefits. These methods also address a critical challenge that can undermine RPA success: keeping automation systems maintainable as organizations scale their efforts to capture more value. Rather than treating process discovery, task selection, and maintenance as separate problems, successful RPA programs integrate these activities into a cohesive management approach that maximizes return on investment. This integrated perspective helps organizations avoid common pitfalls that prevent RPA from delivering promised benefits, such as automating the wrong processes or creating systems that become too expensive to maintain. The presentation will demonstrate various methods work that help to improve RPA project success rates.
Large Language Models (LLMs) have attracted considerable attention across a wide range of application domains, including Business Process Management (BPM). In this talk, we explore how LLMs can support established BPM tasks that have traditionally relied on specialized solutions, such as the automatic generation of process models from textual descriptions, and how they may enable new forms of automation for tasks that previously lacked effective solutions, such as the identification of undesired process behavior. While early results are promising, their application in BPM raises important questions related to reliability, interpretability, and domain specificity. The talk discusses current capabilities, highlights emerging use cases, and reflects on the limitations and open challenges that remain.
En un contexto de disrupciones económicas, modelos laborales en evolución y avances acelerados en inteligencia artificial, las organizaciones buscan nuevas formas de adaptarse y mejorar continuamente. En esta charla, exploraremos cómo la inteligencia de procesos impulsa la mejora continua mediante un ciclo de gestión por procesos que abarca el descubrimiento, rediseño, simulación y monitoreo. Esta disciplina no solo permite detectar cuellos de botella, reducir desperdicios y asegurar el cumplimiento normativo, sino que también soporta el alineamiento estratégico de las iniciativas de automatización, ya sea basadas en RPA (Robotic Process Automation) o en APA (Agentic Process Automation). La presentación incluirá casos prácticos de múltiples industrias, manufactura, banca, seguros y servicios públicos, ilustrando cómo diversas organizaciones están utilizando la inteligencia de procesos para alinear los esfuerzos de automatización con resultados de negocio concretos.
The effective design of business processes is difficult due to complexity and lack of transparency. Many organizations have started using process mining. Information systems supporting business processes store event data about what was done. Process mining techniques use this data for generating insights into business processes and their improvement potential. In our projects, we have developed various new approaches to provide better process mining insights. In this talk, I will present some of the underlying conceptual ideas and discuss their implications at an organizational level.
Room 726, Main Building (7th floor)
The recent advances in artificial intelligence (AI) are reshaping both research and practical applications in the field of legal informatics. Moreover, digital transformation in the legal and public administration sectors is generating vast amounts of complex data which includes structured records, semi-structured logs, and richly detailed unstructured texts (e.g. judgments, statutes, contracts). This presentation explores the opportunities and challenges of applying AI to the legal domain, from automating document analysis and supporting decision-making to ensuring transparency, fairness, and compliance with regulatory frameworks. Particular attention will be provided to the analysis of procedural aspects. While databases of administrative and legal procedures can be transformed into event logs, a significant portion of valuable information remains embedded in unstructured texts such as contracts, administrative acts, and court decisions. To address this gap, we present an approach that integrates process-oriented data science with natural language processing to extract structured information on entities and events. By enriching event logs we improve the application of process mining techniques. The results are promising to pave the way for improving legal and administrative decision-making.
Por definir
Registration for BPMuy is free and is done by completing the
following REGISTRATION FORM. The BPMuy option must be selected.
It is offered as a postgraduate and permanent education course,
for students from academic postgraduate programs at Facultad de Ingeniería (FREE OF COST),
and students from professional postgraduate programs and other interested professionals (REGISTRATION WITH COST).
For inquiries, please contact us through the contact form.
BPMuy is organized by the COAL research group of Instituto de Computación (INCO),Facultad de Ingeniería (FING),Universidad de la República (UdelaR).
Previous events are: the Latin American School on Process Variability and Process Mining (2024), the Latin
American School on Process Mining (2022), the School on Variability of Business and Software Processes
(2018) and
the Uruguayan workshop on Business Process Management and Technologies (BPMuy, 2012-2016).