Microsoft patents AI system to sort phone calls and trigger network actions
Microsoft describes a system that converts phone call transcripts into mathematical codes to find similar past examples. It then uses a large language model to categorize the call based on these examples and triggers specific network actions if the category matches a set rule.
In the filing’s own words
A call is classified in a telecommunications network. A transcript of the call is accessed and an embedding vector of the transcript is computed. A database of embedding vectors is searched for a first embedding vector with a defined degree of similarity to the embedding vector of the transcript. Each embedding vector represents an example text associated with a known classification. A first prompt is constructed that comprises: an instruction directed to a large-language model to classify the call using a first example; the transcript; and the first example that includes example text represented by the first embedding vector and the associated known classification. The techniques further comprise prompting the large-language model with the first prompt; receiving a response to the first prompt from the large-language model, comprising a classification of the call; and, in response to the classification meeting a criterion, initiating an action at the telecommunications network.
What exactly they claim (claim 1)
1. An apparatus comprising: a processor; a memory storing instructions that, when executed by the processor, cause the apparatus to perform operations for classifying a call in a telecommunications network, the operations comprising: accessing a transcript of the call; computing an embedding vector of the transcript; searching a database of embedding vectors for a first embedding vector with a defined degree of similarity to the embedding vector of the transcript, wherein each embedding vector represents an example text associated with a known classification; constructing a first prompt, the first prompt comprising: an instruction directed to a large-language model, the instruction instructing the large-language model to classify the call represented by the transcript using a first example; the transcript; the first example, the first example comprising: an example text represented by the first embedding vector; and the known classification associated with the example text represented by the first embedding vector; prompting the large-language model with the first prompt; receiving a response to the first prompt from the large-language model, the response comprising a classification of the call; and in response to the classification meeting a criterion, initiating an action at the telecommunications network.
Facts
- Company
- Microsoft (MICROSOFT TECHNOLOGY LICENSING, LLC)
- Official title
- Actioning classification of a telecommunications network call
- Patent number
- US12763072B2
- Application number
- 18649953
- Filed
- Apr 29, 2024
- Granted
- Oct 13, 2026
- Inventors
- 3
- Claims
- 20
Classified under
G10L 15/183 Physics & computingG06F 16/685 Physics & computingG10L 15/16 Physics & computingG10L 15/22 Physics & computingG10L 15/30 Physics & computingH04M 3/2281 Electricity & electronicsMore from Microsoft in AI & software
- Microsoft patents method to check AI answers against verified facts Oct 20, 2026
- Microsoft patents AI that presents PowerPoint slides for you Sep 3, 2026
- Microsoft patents method to check if LLM answers are based on real data Sep 10, 2026
- Microsoft patents system to blend multiple AI agents into one chat Oct 1, 2026
- Microsoft patents system that answers questions using your screen history Oct 15, 2026
Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.