AI customer support chatbot

An AI customer support chatbot serves your users around the clock, answers with your own information and resolves real tasks (check an order, generate an invoice, open a ticket) instead of just giving generic replies. With Floogos you build it by connecting a few nodes — no frontend to develop and no models to train.

The problem it solves

• Repetitive questions that overload your support team.
• After-hours queries that go unanswered.
• Inconsistent answers depending on who replies.

A well-built AI agent answers instantly, consistently and with the right information, and escalates to a human only when truly necessary.

How to build it

1. Trigger Chat — publishes the chat window at /c/<token>, ready to embed in your site.

2. AI Agent — the orchestrator that converses and decides.

3. Brain — the LLM that reasons (you pick provider and model).

4. RAG — so it answers from your FAQs, manuals and policies (you index them first).

5. Tools — so it runs actions: check an order status, open a support ticket, send a follow-up email.

Hand off to a human

Set up an “escalate to support” tool or skill: when the agent detects it can’t resolve (or the user asks), it opens a ticket or notifies your team via Slack/email with a summary of the conversation.

What your company gains

• 24/7 availability without adding staff.
• Answers grounded in your documentation, not made-up information.
• Less load on the team: only the cases that need it reach a human.
• Same assistant across channels: the web chat, and with a messaging workflow, also WhatsApp or Telegram.

Keep reading

• AI agent fundamentals — brain, tools, RAG and skills.
• Sales assistant and lead qualification.
• Knowledge assistant with RAG.