Use RCS with an AI Agent
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One of the most efficient ways to use RCS is to set up an AI Agent to handle conversations with your customers.
AI Agents can reply to messages, send information about products and services, share payment links, upsell, cross-sell, and perform a variety of tasks.
In this guide, we'll give an overview of the steps you'll need to take to set up an AI Agent on RCS.
An OpenAI account
An , and
The first step you'll need to take is to install the integration. This is the tool that will power your AI Agent.
Next, you'll need to of information that your AI Agent will use to talk with your customers.
Knowledge bases are essentially a collection of organized folders containing individual articles, much like a help center.
By building a well-organized and comprehensive knowledge base, your AI Agent will find it easy to access and distribute information.
In this step, you'll establish the AI Agent's personality and tone, what it is and is not allowed to do, its purpose, handover to a human protocol, and a variety of other functional properties.
The deployment process for AI Agents is the same, regardless of the channel you want to deploy it on.
Once published, your AI Agent will automatically reply to messages that you receive on your RCS channel. You'll be able to see these conversations, and take over manually as required, in Inbox.
Now that you've added all of the information to a knowledge base, you'll need to .
RCS Agents and an AI Agent are different concepts. are a Google concept, whereas are a Bird concept.
You need to , and set the trigger so that the flow runs when a new message is received on your installed RCS channel.
Concept: Knowledge bases →
How to: Build a knowledge base →
How to: Set up an AI Agent →
How to: Deploy an AI Agent →
Open AI →