Intelligent agent assistant for natural language understanding in a customer service system

This system is a smart assistant for customer service that helps human agents talk to customers. It listens to what a customer says, figures out what they mean using computer understanding, and then shows that information to the human agent on their screen. This helps the agent respond faster and more accurately, while also learning from human corrections to make the computer assistant better over time. The claims narrow this to a computer method for assisting a human agent in real-time conversations.

Why it matters: Filed before the widespread adoption of large language models (LLMs). LLMs now offer significantly more advanced and generalized natural language understanding, potentially making the human-in-the-loop correction and data collection for automation much more powerful and efficient than in 2020.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, NLU models, real-time processing

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