Jul 2026· Annual International Computer Software and Applications Conference· pp. 2088-2093· 0 citations· 11 references
Computer Science
Abstract
We present an AI-assisted framework that uses LLMs to map unstructured organizational communications to a domain-specific metamodel and corresponding enterprise process activities. By linking messages to affected and dependent processes, the framework supports real-time situational awareness and proactive risk identification. Evaluation demonstrates effectiveness and scalability on large communication streams and process models.
This paper provides the architectural foundation and experimental protocol for future quantitative benchmarking, and proposes a five-pillar conceptual framework and establishes a qualitative baseline through domain expert interviews.
Ume Rubab, B. Axmann· Engineering review· 0 citations
Habermas's Theory of Communicative Action is introduced as a framework for analyzing AI-mediated organizational processes and a framework for Communicative AI-Augmented Business Processes (CA-ABP) as well as associated design principles aimed at preserving communication, participation, and legitimacy in increasingly au...
R. Barneva, V. Brimkov· Information Theories and App...· 0 citations
This position paper argues that the integration of AI-generated information has the potential to disrupt existing human agencies in organizational routines because of displacement of judgement particularly when routine automation reduces human agency to higher dependencies on these AI outputs leading to lower sense-mak...
M. Wiersma, Klara Paardenkooper, Raymond Hoogendoorn· European Conference on Knowl...· 0 citations
The results show that the BPMN4CAI extension facilitates adaptive decision-making processes, robust context management, and transparent interactions for Conversational AI within business processes.
Björn-Lennart Eger, Daniel Rose, Barbara Dinter· 0 citations
This research introduces the FAIRE Framework (Formal Architecture for Institutionalizing and Regulating Emergence), a mathematically grounded, four-layer architecture for requirements emerging from human–AI collaboration.
The article addresses the crisis of modern project management approaches under conditions of deep uncertainty and substantiates the necessity of a paradigm shift from automation to cognitive augmentation. The limitations of automation in project management are systematized. The concept of cognitive augmentation is intr...
Evgeniy A. Gulevich· EKONOMIKA I UPRAVLENIE: PROB...· 0 citations
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