This invention describes a system that uses machine learning to analyze how a decision-making process works, specifically by looking at past execution data. It automatically builds a detailed map of the process, called a knowledge graph, and then creates a decision tree from it. The system then interacts with a user through a conversation to gather necessary information, automatically executes the process based on that input, and finally informs the user of the result.
Why it matters: Filed before large language models could easily generate conversation flows and knowledge graphs from unstructured data. The underlying machine learning and natural language processing capabilities have advanced significantly since 2019.
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