ChatRhino

AI agents

AI agents that answer from your content and hand off when unsure

Train an agent on your website, documents and FAQs. It answers customers on any channel, collects details, looks things up. When it is unsure, it hands the chat to a person.

The ChatRhino inbox with Hiro Tanaka's WhatsApp conversation open: the Northwind Assistant handed a delivery question to the team and the chat is assigned to Tom Becker.

Build

Four things make an agent

01 · Knowledge

Your content

Crawl your website, upload documents, add FAQs. Re-sync when they change.

02 · Instructions

Personality and scope

Tone, language, what it may and may not discuss, and when to escalate.

03 · Tools

Flows and integrations

Collect details, look up an order, create a CRM lead, book a slot.

04 · Deployment

Channels and hours

Choose channels, and whether it runs always, after hours or in business hours.

Grounded

Answers from your knowledge, not guesses

The agent retrieves the most relevant passages from your knowledge base for every question and answers from them. If nothing relevant is found, it says so and offers a person instead of inventing an answer.

  • Website crawler with safeguards against internal-network addresses
  • Chunking and embeddings tuned for FAQs and policy pages
  • Re-sync sources when your content changes
The Northwind Assistant's knowledge: shipping policy, returns, product care and other sources the AI agent answers from.

Handoff

A clean handover, every time

Handoff is not an error state. The agent passes the conversation to the right team with a summary, the details it already collected, and the reason it stopped.

  • On low confidence, explicit request, or a topic you flag
  • Respects business hours and team availability
  • Customer is told what happens next
The ChatRhino inbox with Hiro Tanaka's WhatsApp conversation open: the Northwind Assistant handed a delivery question to the team and the chat is assigned to Tom Becker.

Safe to change

Test before customers see it

Save real conversations as test cases with the answer you expect. Run the suite after changing instructions or knowledge to catch answers that got worse.

  • Simulator to chat with a draft agent
  • Test suites with expected outcomes
  • Versioned deployments to production
The flow builder showing the Order tracking flow: a keyword trigger, an order-number question, a Shopify lookup and the status message.

Where agents work

Deploy on the channels you choose

The same agent can answer on WhatsApp, your website widget, Instagram, Messenger, Telegram and in-app chat. On WhatsApp it respects the 24-hour customer service window.

FAQ

Questions, answered

What can I train an AI agent on?

Your website (crawled), uploaded documents in PDF, text, Markdown or HTML, and FAQs you write. You can re-sync sources when they change.

Will the AI make things up?

Agents answer from retrieved passages of your own content and are instructed to say when they do not know. No AI is perfect, so we give you test suites, source visibility and handoff rules to keep it in bounds.

Which AI models does ChatRhino use?

ChatRhino uses commercial large language models from third-party providers (currently Anthropic's Claude models) through their APIs. Text needed to answer a question is sent to the provider; see our security page for details.

Can the agent take actions, like creating a lead?

Yes, through flows and integrations you connect. Actions that change data in another system can be set to require confirmation.

Can the AI agent run only outside business hours?

Yes. Each deployment can run always, only outside business hours, or only during business hours.