mlsanityData to 14 Oct 2026

Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration

arXiv 2212.06564 ↗First posted 13 Dec 2022cs.AIcited by 6

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Abstract (arXiv)

Business processes that involve AI-powered automation have been gaining importance and market share in recent years. These business processes combine the characteristics of classical business process management, goal-driven chatbots, conversational recommendation systems, and robotic process automation. In the new context, prescriptive process monitoring demands innovative approaches. Unfortunately, data logs from these new processes are still not available in the public domain. We describe the main challenges in this new domain and introduce a synthesized dataset that is based on an actual use case of intelligent process automation with chatbot orchestration. Using this dataset, we demonstrate crowd-wisdom and goal-driven approaches to prescriptive process monitoring.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 16 of its 28 references that are in the map. First posted on arXiv 13 Dec 2022.

Builds on

16 of 28 references.

References · 16

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4 more
  1. 2018Alarm-Based Prescriptive Process Monitoringcited by 16
  2. 2020Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logscited by 15
  3. 2021Prescriptive Process Monitoring: Quo Vadis?cited by 15
  4. 2020A Conversational Digital Assistant for Intelligent Process Automationcited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 3.

6 papers.