Autopilot

CXone Autopilot is a full-service, data-driven intelligent virtual agent A software application that handles customer interactions in place of a live human agent.. It handles voice interactions The full conversation with an agent through a channel. For example, an interaction can be a voice call, email, chat, or social media conversation. in the place of live agents. Autopilot virtual agents understand human language and respond to contacts naturally. They can switch topics, understand context, and answer questions with human-level comprehension. Autopilot virtual agents can fully resolve issues via self-service, limiting escalations to live agents.

Autopilot virtual agents use CXone XO artificial intelligence (AI). XO comes equipped with over 30 years of interaction data. Autopilot uses that data, along with your organization's interaction data, to build conversation flows. These flows include lists of possible utterances What a contact says or types. and appropriate responses. Using AI, Autopilot virtual agents continue to learn from interactions to improve and add to these flows.

Autopilot virtual agents can also:

Identify tasks agents may need to perform to resolve a contact's issue.
Identify back-end tasks that Autopilot itself can do, such as fetching a contact's data.
Proactively send messages to contacts based on their identified needs and interests. Watch this demo video for an example of this feature.

Edward Ferrars is speaking with Autopilot, the virtual agent for Classics, Inc. He tells Autopilot he wants to pay the balance from his latest book order. Autopilot begins the conversation flow for payments. It fetches his billing information and finds two credit cards. It asks Edward which one he wants to use. He answers "Credit Card A," but then changes his mind and says, "Actually, use Credit Card B". Autopilot changes the credit card selection.

Edward then asks for help changing his password. Autopilot switches to the conversation flow for that intent.

Autopilot remembers Edward's first intent The meaning or purpose behind what a contact says/types; what the contact wants to communicate or accomplish. was payment. It switches back to that conversation flow. It asks Edward if he'd like to remove Credit Card A from his billing information. He answers "Yes," and Autopilot removes it.

How Virtual Agents Work

To start an interaction with a voice virtual agent, contacts The person interacting with an agent, IVR, or bot in your contact center. call a phone number and reach your organization. The contact may be connected directly to the virtual agent, or they might need to choose an option in an IVR Interactive Voice Response. Automated phone menu contacts use via voice or key inputs to obtain information, route an inbound voice call, or both. menu. The contact's utterances What a contact says or types. are transcribed Also called STT, this process converts spoken language to text. into text so the virtual agent can use them.

The virtual agent analyzes the contact's utterances to understand the purpose or meaning behind the words. This is known as the contact's intent. The virtual agent sends an appropriate response as text. The virtual agent's response is synthesized into audio by a text-to-speech Allows users to enter recorded prompts as text and use a computer-generated voice to speak the content. service. Transcription and speech synthesis can happen in CXone or, in some cases, in the provider's platform

The method of sending a response depends on whether it's a text or a voice virtual agent:

Voice: Requests and responses are sent back and forth between the virtual agent and the contact. CXone stays connected to the virtual agent service throughout the conversation, but does not participate in it. CXone waits for the signal that the conversation is complete or that the contact needs transferred to a live agent. This is the SIP Protocol used for signaling and controlling multimedia communication sessions such as voice and video calls. backchannel method of connection.
Text: Requests and responses are sent via Virtual Agent Hub and the script with each turn. This option allows for customization of the virtual agent'sbehavior from turn to turn.

At the end of the conversation, the virtual agent sends a signal to the script. It can signal that the conversation is complete, or that the contact needs to speak with a live agent. If the conversation is complete, the interaction ends. If a live agent is needed, the script makes the request. The contact is transferred to an agent when one is available.

When the conversation is complete, the script can perform post-interaction tasks, such as recording information in a CRM Third-party systems that manage such things as contacts, sales information, support details, and case histories..