Abstract: The present disclosure provides a system for adaptive voicemail and interactive voice response (IVR) detection in outbound calls. The system includes a call initialization module configured to establish an outbound call connection, a speech processing module configured to convert incoming audio signals into text in real-time, a classification module configured to analyze the text and determine whether the call has reached a live recipient, a voicemail system, or an IVR menu, a decision-making module configured to determine an appropriate course of action based on the classification, and a response generation module configured to generate and deliver appropriate responses based on the determined course of action. The system enables efficient handling of outbound calls by accurately detecting and responding to different call scenarios.

Abstract: Disclosed are approaches for testing virtual artificially intelligent (AI) agents. In some examples, user inputs are generated automatically across a variety of contexts. The automatically generated user inputs are sent to an AI agent and analytically analyzed to assess coherency and relevance. A self-test report of the AI agent can then be generated based on the assessed coherency and relevance.

Abstract: A system for creating and optimizing AI voice agents includes a non-transitory memory storing instructions and one or more processors coupled to the non-transitory memory and configured to execute the instructions to perform operations. The operations include providing a user interface having a sequence builder canvas and an AI assistant chat panel, receiving a natural language input describing a desired conversation flow for an AI voice agent via the AI assistant chat panel, generating one or more conversation steps based on the natural language input using an AI assistant, displaying the generated conversation steps as visual nodes within the sequence builder canvas, and executing validated backend actions for manipulating the conversation flow structure based on user inputs received via the AI assistant chat panel using a function calling architecture.

Abstract: Approaches for initiating a human takeover by a virtual artificially intelligent (AI) agent. A predetermined indication is used as a signal for initiating the human takeover across a variety of contexts. Responsive to detecting the predetermined indication, a human operator is automatically notified to take over the conversation and the AI system is prepared for transferring control to a human operator.

Abstract: Disclosed is an approach for transitioning between a main topic state and a tangential topic state in a virtual artificially intelligent (AI) system. A state machine controlling a directed conversation is received by the AI system. A knowledge base is ingested for the directed conversation by the AI system. A first input from a user is processed by the AI system which causes the AI system to enter a first state related to a first topic. Responsive to receiving a second input, by the AI system from the user not related to the first topic transitioning, by the AI system, into a tangential topic state.