Product · AI agent

It thinks. It acts. It asks.

An LLM-powered agent that resolves routine conversations, takes action in your tools, and hands the human moments to your team — with the full context already attached.

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“Where’s my order?”

On it.Cloodot agent

Find the orderLooking up the customer in Shopify

Check deliveryOrder #1048 · on its way

Answer grounded in your store’s data

Reply ready

Your order is on its way. Here’s your tracking link.

Grounded

Answers from your sources. Never invented.

Your Knowledge Base, FAQs, and Collections give every answer its source. The agent searches by meaning, and logs questions it can’t answer so you know what to teach it next.

Your knowledge. A helpful answer.Illustrative example

A Knowledge Base it searches

Text, PDFs, spreadsheets, web links, or a crawl of up to 200 pages become the library every answer is drawn from.

FAQs with a feedback loop

Questions it can't answer are logged to your Unanswered list automatically. Add an answer once and it's handled every time after.

Collections in the thread

When someone asks to browse, the right products surface as a visual carousel — matched by meaning, not exact words.

Persona

A persona you shape, not a script.

Choose its name, voice, languages, and the moments it hands over to a person. Six settings make the agent feel like part of your team, in every thread.

One personality, in every conversation.Illustrative example

Identity & greeting

Its name, a short description, and the first line every customer hears — set the tone before a word is typed.

Languages & personality

Reply in the languages you enable, each in the right script, at a voice dialled from professional to casual.

Reply length & follow-up

From tiny one-liners to detailed walkthroughs — and a quiet nudge when a thread goes cold so it doesn't slip away.

Human handoff

Plain-language conditions decide the moments that go to your team: refunds, manager requests, anything you name.

Action

It doesn't just reply. It acts.

Check an order, book a slot, or look up an account — right inside the conversation. Connect the action once, then let your instructions decide when it runs. Build your own in Skills & workflows.

From a request to a result.Illustrative example

Custom actions, no code

Check order status, book an appointment, look up an account, or call any REST API you point it at.

Fired at the right moment

Reference a skill inside an instruction block and it runs when the scenario matches — then follows up with the result.

Knows its limits

When an action really needs a person — a large refund, an edge case — it hands off with the context already gathered.

Ship it safely

Test in private. Ship when it's right.

Try real conversations in the playground before customers see a reply. Publish when you’re ready, keep every version, and give your agent a helpful fallback for the unexpected.

A place to practise. A moment to publish.Illustrative example

A risk-free playground

Run conversations, watch how it responds, tweak until you like it. Real customers see none of it until you deploy.

Versioned saves & rollback

Every save is a new version. Roll back in a click; drafts from MCP or the API stay inactive until you deploy them.

A fallback that helps

When the agent gets stuck, it sends your fallback line and offers a human instead of leaving anyone hanging.

Outcomes

The routine, handled. The hard part, teed up.

65%

Reduction in manual workload as the agent resolves routine conversations end to end.

28pts

Boost in CSAT from faster, smarter first responses, measured across global deployments.

37%

Average increase in revenue from digital channels once the agent is on shift.

"Cloodot's AI now handles the flood of WhatsApp queries across our stores and routes only what needs a person to the team. Faster replies, more sales, fewer agents on the clock."
— Akhil · MyG

The agent, in plain terms.

How does the agent avoid making things up?

It answers only from what you've taught it — your Knowledge Base, FAQs, and Collections — matched by meaning, not keywords. When it isn't confident, it doesn't guess: the question is logged to your Unanswered list so you know what to add, and your handover rules pass it to a teammate with the full thread attached.

What can I teach it from?

Text, a PDF, CSV, or Excel file, a single web link, or a crawl of up to 200 pages from a site. Web-link entries can auto-recrawl on a schedule — from every hour to once a year — so answers stay in sync as your pages change.

When does it hand off to a human?

You write handover conditions in plain language — "customer asks for a refund", "customer wants a manager" — and built-in triggers already cover explicit requests for a person, frustration, and sensitive issues. On Starter and above, the agent can route the handover into the best-matching team instead of the general queue.

Can I test it before customers see it?

Yes. The playground lets you run real conversations risk-free — customers see nothing until you deploy. Every save creates a new version, so you can roll back anytime, and drafts saved from the MCP server or API stay inactive until you review and deploy them yourself.

What languages does it handle?

It understands virtually any language and replies in the ones you enable — English, Arabic, Hindi, Urdu, Spanish, French, German, and Malayalam — each in the right script and register, right-to-left included.

The rest of the platform

Better together.

01Unified inboxEvery channel, one tray.03CopilotAI at your team’s elbow.04Skills & workflowsTeach it your business logic.05CampaignsBroadcasts that read like DMs.06AnalyticsKnow what your inbox knows.

See it on your own inbox

Try the whole thing, today.

Start free. Connect a channel, train an agent on your own content, and you'll have a working deployment in your inbox the same afternoon.

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