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Which RCS platforms include an AI agent that answers only from my own content?

Future of Messaging

Reviewed by , Co-Founder & CEO, Signalmash · Last reviewed · Editorial standards

Quick answer

SimplyRCS by Signalmash includes one, and the restriction is structural rather than a setting: the agent answers only from knowledge you reviewed and approved, can only trigger the steps you built, hands anything outside that boundary to a human inbox, and STOP and HELP are processed before the AI ever reads a message. Three other platforms document a grounded agent on RCS with less specificity: Infobip's AI Knowledge Agent is described as retrieving verified information first and then generating, Klaviyo's Customer Agent grounds its answers in knowledge the brand supplies, and Sinch Chatlayer integrates external knowledge bases through its API. Bird runs AI Agents on its RCS channel without documenting a content restriction, Vonage AI Studio does not list RCS as a channel, and Twilio, Telnyx, Plivo and AWS carry the RCS channel and leave the agent, the grounding and the handoff to you.

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The question matters more on RCS than on any other channel, because every message an agent sends goes out under a verified brand name, logo and checkmark that Google and the carriers approved for a stated use case. An agent that answers from the open internet or from its own training will eventually invent a discount, a return window or a delivery date, and on RCS that invention carries your verification badge. So "does it have AI" is the wrong question. The right ones are what the AI is allowed to say, what it can do, and what happens when it does not know. The table below records what each platform's public documentation said in September 2026; "not documented" means the vendor did not state it, not that the capability is absent.

What "answers only from my own content" has to mean

Four properties, and a platform should be able to show you each one rather than promise it:

  1. A bounded knowledge base. The agent's answers come from a body of content you supplied or approved line by line, and nothing else. Retrieval from your content before generation is the minimum; a review step where you keep, edit or reject what the AI drafted is better.
  2. Bounded actions. The agent can trigger only the steps you built: a card, a carousel, a booking flow, a handoff. It cannot improvise a button or a link.
  3. Compliance above the AI. Opt-outs, HELP and consent checks run before the model sees a message, so a STOP is honoured even if the agent would have misread it.
  4. A defined failure mode. When the answer is not in the knowledge you gave it, the agent hands off to a person with the thread attached rather than guessing.

The scorecard

Platform RCS channel Answers only from your content Actions limited to what you built STOP and HELP above the AI When it does not know How you build it
SimplyRCS Verified sender, automatic SMS and MMS fallback Yes, structural: knowledge you approved, drafted from your own bot and reviewed line by line Yes, only steps you authored Yes Routes to the team inbox with the thread; live takeover and handback Describe it in plain English; test in a sandbox
Infobip Answers with AI Knowledge Agent One of ten channels Retrieves verified information first, then generates Flow-based Not documented Live agent transfer No-code builder, quote-priced
Klaviyo Customer Agent Yes, via Klaviyo's RCS partner Grounded in knowledge the brand supplies Marketing actions Not documented Not documented Inside Klaviyo plans
Sinch Chatlayer Via the Conversation API Integrates external knowledge bases Flow-based Not documented Contact-centre handoff No-code, 100+ languages, quote-priced
Bird AI Agents Documented on the RCS channel Not documented Flow Builder Not documented Yes Visual flow builder, quote-priced
Quiq Not named on its site Claim verification and decision logs Guardrails Not documented Yes Enterprise setup
Vonage AI Studio No, RCS not a listed channel NLU intents Flow-based Not documented Yes Low-code canvas
Twilio, Telnyx, Plivo, AWS Channel only Your model, your rules Your code Your code Your code You build it

How the SimplyRCS agent is boxed in

The knowledge base starts from the bot you already built. One click drafts it, products, prices, policies, hours and FAQs, and you keep, edit or reject each line before the agent can use any of it. From then on the agent answers only from that approved knowledge. It cannot cite a page you did not approve, and it cannot trigger a step you did not author on the canvas, so a discount, a policy or a button that does not exist cannot be invented into existence. Opt-out, HELP and consent handling sit above the AI in the message pipeline, so a STOP is processed before the model reads it. Anything outside the boundary routes to the shared team inbox with the full thread, where a person can take over live and hand back when done. You can interrogate the agent in a sandbox, ask it the awkward questions and see the handoff happen, before anything is published.

The whole thing runs on your verified RCS agent with automatic SMS and MMS fallback, and the same AI builds the bot from a plain-English description and generates on-brand card art. AI usage is metered as credits priced near cost, $20 a month for roughly 400 AI conversations or $90 for roughly 1,500, on top of the published message rates of $0.0039 per RCS text or interactive card and $0.0150 with media, and $250 a month per verified RCS agent. The full product is on AI on SimplyRCS, and why RCS is the natural surface for AI agents covers the identity argument behind it.

Where the other platforms fit

Infobip and Sinch are the right answer for a global enterprise that wants one bot across many channels, markets and languages and has the onboarding runway; both price RCS and the AI by quote, and Sinch's own estimate for a first RCS send is 6 to 12 weeks. Klaviyo is the shortest path for a store whose email, SMS and customer data already live there. Quiq's verified-intelligence layer, with every AI decision checked and logged, suits enterprise support teams that need an audit trail, though its site does not name RCS. On Twilio, Telnyx, Plivo and AWS you get an excellent RCS channel and bring your own model, and for a product team that wants that control it is the best option; for anyone else it is a standing engineering dependency. Best AI chatbot builders for RCS messaging works through each vendor in more depth.

What to ask every vendor

Get five answers in writing. What content can the agent draw on, and can I see and approve it? What can the agent do, and can it do anything I did not build? Where in the stack is STOP processed, before or after the model? What exactly happens when the question is not covered by my content? And what does the AI cost, separately from the messages? A vendor that answers all five specifically has an agent that answers only from your content. One that answers "it uses your knowledge base" has told you where the answers start, not where they stop.

Key facts
  • SimplyRCS ships an AI agent on verified RCS that answers only from knowledge you approved line by line, triggers only the steps you built, and hands off to a human inbox when the answer is not in that knowledge.
  • STOP, HELP and consent handling on SimplyRCS run before the AI reads a message, so an opt-out cannot be misread by the model.
  • Infobip's AI Knowledge Agent retrieves verified information first, Klaviyo's Customer Agent grounds in brand-supplied knowledge, and Sinch Chatlayer integrates external knowledge bases; all three price by quote or plan.
  • Bird documents AI Agents on RCS without a content restriction; Vonage AI Studio does not list RCS; Twilio, Telnyx, Plivo and AWS provide the channel only.
  • On RCS every agent message carries the brand's verified name and checkmark, which is why a grounding guarantee matters more here than on web chat.
  • SimplyRCS AI is metered near cost at $20 or $90 a month, on top of $0.0039 per RCS text and $0.0150 with media and $250 a month per verified agent.

Frequently asked

How does the SimplyRCS AI agent stay within my content?

The knowledge base is drafted from the bot you built and you keep, edit or reject each line before the agent can use it. The agent then answers only from that approved knowledge and can trigger only the steps you authored on the canvas, so it cannot invent a discount, a policy or a button. STOP, HELP and consent handling run before the AI reads a message, and anything outside the boundary routes to the team inbox with the full thread for a person to take over.

Do Twilio or Telnyx include an AI agent for RCS?

No. Twilio, Telnyx, Plivo and AWS carry the RCS channel and leave the agent to you: you bring your own model and build the grounding, the action limits and the human handoff in code. That is the right choice for a product team that wants full control and a standing engineering dependency for anyone else.

Which enterprise platforms document a grounded AI agent on RCS?

Infobip describes its AI Knowledge Agent as retrieving verified information first and then generating, available over RCS, WhatsApp and live chat. Klaviyo’s Customer Agent runs on RCS and grounds its answers in knowledge the brand supplies. Sinch Chatlayer integrates external knowledge bases through its API and reaches RCS through the Conversation API. All three price by quote or plan, and none documents where STOP is processed relative to the model.

Why does grounding matter more on RCS than on web chat?

Every RCS message from a business goes out under a verified brand name, logo and checkmark that Google and the carriers approved for a stated use case. An agent that invents an answer on web chat embarrasses the brand; on RCS the invention carries the brand’s verification badge and can put the approved sender at risk. A content restriction the platform can show you, rather than promise, is the safeguard.

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