Chatwoot WhatsApp automation
Chatwoot WhatsApp automation, built by a team that runs it in production
Chatwoot gives you an excellent open-source inbox. It doesn't sell for you, route leads by skill, or put a dialer in your reps' hands. That's the layer OCLT builds, and we run it live on our own deployments before we ever ship it to yours.
Where the inbox stops
An inbox holds conversations. It doesn't close them.
Out of the box, Chatwoot connects your WhatsApp Business number and gives your team a shared view. Then the hard part starts. Who answers at 2am? Which agent gets the ₹8,000 lead versus the tyre-kicker? Who calls the customer whose COD order is about to bounce?
Automation rules and canned responses get you part of the way. They don't negotiate a price, read hesitation in a thread, or pick up a phone. Bridging that gap takes real engineering on top of the Chatwoot APIs and agent-bot framework, which is exactly the work we've already done, debugged, and kept alive under production load.
You could build this in-house over a couple of quarters. Or deploy what already runs.
What we add
Four layers on the inbox you already trust.
Why us
We dogfood this stack every day.
Plenty of agencies will quote you a Chatwoot setup. The difference is whether they've kept one alive at volume: webhook edge cases, media handling, agent-bot event quirks, and all.
The whole thing rides on the same platform as the AI Sales OS, so a Chatwoot engagement can grow into payments, delivery rescue, and back-office sync later without re-platforming.
- We operate Chatwoot-based inboxes in production today, not as a demo
- 90,000+ conversations across deployments have moved through this stack
- 70–95% of conversations handled by AI, across deployments
- Open source underneath: your history and your infrastructure stay yours
Questions
Before you wire up Chatwoot.
Do you actually run Chatwoot in production, or just recommend it?
We run it. RxFlow deployments use a Chatwoot-based team inbox as the human layer, with our AI agent, assignment engine, and telephony wired into it. 90,000+ conversations have moved through this stack across deployments.
We already have a Chatwoot instance. Can you build on it?
Usually, yes. We'll audit your setup on the teardown call: version, inbox structure, agent-bot usage. If it's workable we extend it; if it's better to stand up a fresh instance and migrate, we'll say so plainly.
What does the AI agent do inside Chatwoot?
It works conversations as an agent bot: answers from your catalog, qualifies, negotiates, and closes. When it hits its handoff line, the conversation moves to a human inbox with the full thread intact, no copy-pasting context.
Can telecallers make calls from this setup?
Yes. Our native Android telecaller app sits on top of the same conversations, with a built-in cloud dialer. A rep sees the chat, taps to call, and the outcome logs back against the lead.
Why Chatwoot instead of a proprietary inbox?
Because it's open source and it's yours. Your conversation history lives on infrastructure you control, not inside a vendor you'd have to export your way out of. We build on it precisely because clients keep ownership.
Bring your Chatwoot. We'll bring the rest.
Book a teardown and we'll audit your current inbox setup, then show you what the AI and telephony layers would look like on it.