[24]7.ai, Inc.

Subha Sethumadhavan

Pallipuram V Kannan

Bhanu Anupama Atmuri

Ajay Sreedhar

Veda Rajapandian

A chat console includes a chat portion and at least one portion corresponding to an enterprise system application. The chat portion displays text related to a chat interaction between the agent and a customer in real-time in an ongoing manner. The portion related to the enterprise system application displays data relevant to the chat interaction fetched from a respective enterprise system application. The agent console operatively communicates with three enterprise system applications, such that data relevant to the current chat interaction is fetched from each of the three enterprise system applications and displayed in a respective portion within the agent console.

Agent console for facilitating chat interactions with customers

In a method and apparatus for facilitating agent interactions with customers of an enterprise, one or more intents corresponding to an input provided by a customer during a conversation with a Virtual Agent (VA) are predicted. A confidence score corresponding to each intent is computed that is indicative of an ability of the VA to provide an effective response to the input. The confidence score corresponding to each intent is compared with a predefined threshold score. If the confidence score is less than the predefined threshold score, the conversation is deflected from the VA to a human agent to respond to the input of the customer. The conversation is deflected from the human agent to the VA for a subsequent input if a respective confidence score of at least one intent predicted for the subsequent input is greater than or equal to the predefined threshold score.

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Bengaluru, India

Subha Sethumadhavan