Automated Business Process Analysis: An LLM-Based Approach to Value Assessment
William De Michele, Abel Armas Cervantes, Lea Frermann·April 09, 2025
Summary
An LLM-based method automates value-added analysis in business processes, reducing manual time and subjectivity. It decomposes activities, classifies them using Lean principles, and evaluates 50 models, showing consistent benefits. This innovation aims to augment human expertise, optimizing processes across industries.
Introduction
Background
Explanation of business process analysis
Importance of value-added activities in business processes
Challenges in manual value-added analysis
Objective
To introduce an LLM-based method for automating value-added analysis
Highlighting the reduction of manual time and subjectivity in analysis
Method
Data Collection
Gathering business process data
Utilizing LLMs for data interpretation
Data Preprocessing
Cleaning and formatting data for analysis
Applying Lean principles for activity classification
Model Evaluation
Implementing 50 models for analysis
Consistent benefits across different industries
Application
Industry-Specific Analysis
Case studies in various industries
Demonstrating the method's adaptability and effectiveness
Human Expertise Augmentation
Enhancing decision-making with automated insights
Balancing automation with human oversight
Conclusion
Future Directions
Potential advancements in LLM technology
Expanding the scope of value-added analysis
Impact on Business Processes
Long-term benefits for efficiency and optimization
Role in driving innovation and competitive advantage
Basic info
papers
computation and language
software engineering
artificial intelligence
Advanced features
Insights
How does the LLM-based method decompose activities in business processes?
What are the key steps involved in classifying activities using Lean principles?
What are the consistent benefits shown by evaluating 50 models in this method?
How does the method ensure compatibility across different industries?