An RCS chatbot platform with an AI bot builder. Describe it. The AI builds it. It runs it.
An RCS chatbot runs inside the customer’s messaging thread from your verified sender. Describe it in plain English and a working flow appears on the canvas. When customers type, the AI picks which of your replies fits, so every text goes out in your words.
- No code
- Every change undoable
- Replies in your words
It builds your bot, becomes your agent, and runs your conversations.
Most “AI chatbots” are a bot you build by hand plus a separate AI answering from a generic model. Here one AI does all three jobs.
Builds your bots
Carousels, menus, captures and handoffs, spoken into existence on the canvas. Describe a change and it edits the flow in place. Every change is undoable.
Becomes your agent
Once built, the AI drafts its knowledge from the bot you made and flags anything it could not match. You curate what it knows.
Runs your conversations
When customers type instead of tapping, it picks which of your replies fits and moves them along the flows you built. Anyone who asks for a person is handed to your inbox.
Build a bot in five steps.
Describe it, or start from a template
Type what you want in plain English, or pick a pre-built template: welcome, opt-in, FAQ, lead capture. Duplicate an existing bot to spin up a variation.
Watch the AI assemble the flow
Nodes appear on the canvas and connect automatically: messages, cards, carousels, conditions, actions, data capture, delays, and human handoff. Every step is visible and editable.
Refine on the canvas
Shape every detail in the right rail: card titles, media, branching logic, button labels, captured fields. Reorder with a sentence (“lead with the Red Sneakers”) or drag it yourself.
Test on a real device
Run the bot in a simulator that mirrors Google Messages, then send a test to your own phone and tap through it.
Publish to a channel or keyword
One click attaches the bot to your verified sender and/or a keyword. It is live: answering customers, taking actions, and routing to your Inbox when a human is needed.
The AI drafts it. You shape every detail.
The AI gets you to a working flow in seconds. You stay in control of every node through the canvas and the properties panel.
An AI you can actually put in front of customers.
The fear with AI in customer messaging is that it goes off-script: invents a policy, promises a refund you don’t offer. Here is how ours is bounded.
Your words in every text
On RCS and SMS the AI never writes a reply: it picks which of your authored replies fits, or does nothing. It has no access to the open internet.
Takes only actions you built
It can do what you wired into the flow (book, track, redeem, capture) and nothing else. No surprise actions, no unauthorized commitments.
Compliance sits above the AI
STOP, HELP, and START keywords are handled by the platform before the bot or the AI sees the message, so an opt-out is never left to a model’s judgment.
Bots for the moments that move your numbers.
Three bots, step by step.
A finished bot on the canvas, node by node, including where it branches and where it fetches a human.
Appointment reminder that reschedules itself
Goal: Cut no-shows without the phone tag that usually comes with them.
- Card. A branded card lands 24 hours out: clinic name, logo, appointment time, and the address as a map link.
- List menu. Three options underneath: Confirm, Reschedule, Cancel. The tap is the reply, so nobody types "C" and hopes.
- Condition. Confirm ends the flow. Reschedule branches to the next step. Cancel writes back and releases the slot.
- Data capture. Reschedule shows the next open slots pulled live from the calendar; the patient taps one.
- Action. The booking system is updated by webhook and a fresh confirmation card replaces the old one in the thread.
- Handoff. Anything the flow does not cover, "I need to see a different doctor", routes to the front desk in the Inbox with the whole thread attached.
Cart recovery that shows the actual cart
Goal: Recover checkouts by removing the trip back to the site.
- Delay. Wait an hour after abandonment, long enough that the message reads as helpful rather than surveillance.
- Carousel. The exact items left behind, each as a swipeable card with its real photo, price, and a Buy now button.
- Condition. A returning customer with a saved payment method sees one-tap checkout; a first-timer sees the full cart link.
- Message. No response after a day triggers a single follow-up naming the item, not a generic nudge. One follow-up, not four.
- Action. Purchase fires a webhook that exits the flow immediately, so nobody gets chased for something they already bought.
Support triage where the AI answers, then stops
Goal: Deflect the repeat questions and escalate everything else cleanly.
- Message. The customer opens with whatever they want, in their own words. No menu tree to navigate first.
- AI agent. The agent answers from your approved help content only: shipping windows, return policy, store hours. If the answer is not in what you approved, it does not improvise.
- Condition. A question about a specific order branches to lookup rather than being answered from general content.
- Data capture. It asks for the order number, then reads the real status back as a card.
- Handoff. Anything about a refund, a complaint, or a question outside its knowledge goes to a human with the full transcript, so the customer never repeats themselves.
No-code for teams. Full API for developers.
Marketing builds and ships without engineering. Developers get the same bots programmatically: export the flow from the canvas or build headless via the REST API.
The bots teams build most.
A representative ranking of the highest-volume automations by messages sent. Switch the range to compare how the mix shifts over time.
Most active automations
- 1Welcome & Onboarding48,210
- 2Abandoned Cart Recovery39,884
- 3Appointment Reminders31,552
- 4Order & Delivery Updates27,140
- 5Loyalty Rewards18,963
- 6Support Deflection12,447
RCS bot builder questions.
What are some examples of RCS chatbots?
Common RCS chatbots include an appointment reminder that lets the customer confirm, reschedule against live calendar slots, or cancel with one tap; a cart-recovery bot that shows the abandoned items as a swipeable carousel with a Buy now button; and a support-triage bot where an AI agent answers from your approved help content, looks up a real order status, and hands off to a human for refunds or anything outside its knowledge. Each is built from the same nodes: cards, carousels, list menus, conditions, data capture, actions, and handoff.
What is an RCS bot builder?
An RCS bot builder is a tool for creating interactive Rich Communication Services chatbots: automated flows with carousels, menus, buttons, and two-way conversation that run inside the phone’s default messaging app. SimplyRCS’s builder is AI-native: you describe the bot in plain English and the AI assembles it on a visual canvas, then runs the conversation grounded in your content.
Can AI build a messaging bot for me?
Yes. With SimplyRCS, you describe what you want, for example, “show three products, let people browse or talk to a person, and capture emails,” and the AI builds the working flow on a canvas you can edit. The same AI then answers customers, using only the knowledge and actions you approved.
Do I need to code to build an RCS chatbot?
No. The SimplyRCS bot builder is fully no-code: describe a flow or start from a template, then refine it visually. Developers can optionally export the flow or build via the REST API, but it isn’t required.
Is it safe to let AI answer customers?
It is bounded by what you build. In text conversations the AI never writes a reply: it chooses among the replies you wrote and the paths you built, has no access to the open internet, and falls back to your flow if it is unsure. STOP and HELP keywords are handled before the AI sees a message.
What can an RCS bot do?
An RCS bot can show product carousels, present tappable menus, capture data like emails, branch on customer attributes, take actions such as booking or tracking an order, and hand off to a human agent, all inside a verified, branded conversation in the native messaging app.
How do I test an RCS bot before going live?
SimplyRCS includes a simulator that mirrors RCS rendering on Google Messages, plus the ability to send a test message to your own phone. You can tap buttons, swipe carousels, and verify the SMS/MMS fallback before publishing.
How does the bot hand off to a human?
A handoff node routes the conversation to your Inbox, where an agent takes over with the full chat history visible, so the customer never has to repeat themselves. You can hand back to the bot at any time.
Speak your first bot into existence.
Book a meeting and we’ll build a working RCS bot for your business, live, from a sentence, on a real phone.