Google Contact Center AI Features

Provides voice call functionality.

Provides an interface for one or more social media channels.

Includes or integrates with live chat initiaited from the company's web site.

Accepts contacts initiated through SMS or other mobile text functions.

Allows CSRs to receive and answer customer emails.

Route calls to the most appropriate agent according to a series of factors, including the time of day, customer priority, IVR outcomes, and skill-based routing (SBR). Voicemails can be routed to agents during quiet call periods.

Callers can be routed to a queue or placed on hold until an agent becomes available.

Place a large or unlimited volume of calls simultaneously without diminishing the call quality.

Provides some level of analytics based on keywords and vocal tones.

Has auto dialing or predictive dialing functions for outbound use.

Includes an interactive phone menu.

Populates CSR's screen with available customer data.

Maintains and shares information across channels and agents as the case progresses.

Provide agents with notes or context information about a call. These notes can include information such as caller disposition or contact history.

Manage call records and agent tasks through administrative features. Provide agents with guidance during live calls, and interrupt calls with call barging to ensure customer satisfaction, if necessary.

Report on historical or real-time call center performance metrics, and access data through highly visual dashboards.

Keeps records of agent-customer sessions for purposes of coaching, quality assurance, or regulatory purposes.

Provides workforce management functions such as scheduling and vacations, team assignments, and areas of expertise.

Is able to process inquiries submitted by text data from live chat, email, or SMS

Comprehends human speech and can transcribe it to text for processing

The AI is able to access the company's internal knowledge to inform and guide responses to customer inquiries

The platform is able to automatically determine how to resolve help tickets without assistance by human agents

The platform's responses to customers can be customized to improve comprehension, relatability, and emotional intelligence

When the AI is unable to process a particular type of customer request, it is able to determine which is the best agent to refer the ticket to

The AI platform is able to learn over time on how to interpret each type of customer inquiry and improve the quality of their responses

Multilingual capabilities allow the AI to process inquiries from many languages

The AI's responses to customer inquiries provide human-like organic conversations. The platform is able to understand a question no matter how it's worded and provide comprehensive answers

Simulates human-like speech from text inputs.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting