The Toronto-dominion Bank

Shahzad Mohammed

Dino Paul D'Agostino

A Warren Pratten

Francis James Alexander Guttridge

Arvind Chikkalavalasa

Waqas Nawaz

An example operation may include one or more of receiving and recording electronic communications that occur between users of an organization within a data store, receiving an input via a user interface, retrieving the electronic communications of the organization and software architecture documents from the data store in response to receipt of the input, generating a diagram of a software architecture of the organization based on execution of a generative artificial intelligence (GenAI) model on the electronic communications of the organization and the software architecture documents, and displaying the diagram of the software architecture via a user interface.

Generating software architecture from conversation

The present disclosure generally relates to systems, software, and computer-implemented methods for using generative artificial intelligence to improve user interactions. One example method includes receiving a notification from a contact center application that user interaction events have been generated during an interaction session. Event descriptions for events generated in the session are located in a contact center application use case definition. Event descriptions are enhanced with event information for to generate contextualized event information. The contextualized event information to is added to a generative large language model artificial intelligence context that is provided to a generative large language model artificial intelligence engine. A query is provided to the generative large language model artificial intelligence engine. A query response is received from the generative large language model artificial intelligence engine and the query response is used in the interaction session.

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CA

Shahzad Mohammed