Building and Deploying AI Customer Support Agents

Ria is a comprehensive platform designed to efficiently create and deploy AI-powered customer support agents for your business. This platform aims to resolve customer inquiries while simultaneously enhancing business performance. The setup is quick, taking only minutes to bring your agent to life, connect it to your knowledge base, and go live.

Step 1

Begin by accessing the Ria platform, a comprehensive tool for crafting and implementing AI customer support agents tailored to your business needs. It efficiently addresses customer inquiries, thereby enhancing business outcomes. The setup process is swift, allowing you to create your agent, connect to your knowledge base, and launch within minutes.

Step 2

The platform requires no coding or extensive integration efforts. To illustrate, consider an agent designed specifically for a co-working space.

Step 3

Commence the process by navigating to the knowledge spaces section. Here, you have the ability to create and manage a knowledge space effectively.

Step 4

Define the scope and provide clear guidance for the agent's functionality, such as services or co-working directions.

Step 5

Proceed by uploading necessary files to populate the knowledge base.

Step 6

The files may be in any supported format such as PDF or DOC. For this example, simply upload the desired document.

Step 7

Alternatively, import content directly from a URL.

Step 8

While it's possible to establish sharing frequencies, for this demonstration, proceed with a straightforward import.

Step 9

As the import process is underway, let's explore the teams feature.

Step 10

In the context of a co-working space, various teams such as facilities, programs, events, and sales may exist. New teams can be effortlessly created as needed.

Step 11

For instance, should you wish to establish a marketing team, this can be accomplished seamlessly. Teams aid in managing inquiries and delegating them according to the inquiry type.

Step 12

Observe a live conversation scenario and how it is adeptly managed.

Step 13

A message has been received from a customer, Kevin.

Step 14

Kevin has expressed interest in touring the co-working space tomorrow. The agent has responded promptly. If desired, you can assign the inquiry to a specific team.

Step 15

In this scenario, delegate the inquiry to the sales team, which will subsequently handle it.

Step 16

Alternatively, if you prefer to manage the conversation personally, click "Take Over" to assume control of the interaction.

Step 17

On the left-hand side, active chats are displayed, while resolved chats appear on the right. All customer interactions are stored in the customer CRM, detailing conversation history and the most recent contact. A comprehensive dashboard summarizes all activities.

Step 18

The dashboard provides insights over varying time frames, such as seven days, a month, or three months, currently set to display 30-day statistics.

Step 19

View active and resolved conversations over the last 30 days, examining the distribution between agent and human resolutions, frequency patterns, and recent agent activities. This showcases Ria's capability to manage inquiries effectively, optimizing business processes.