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Automation and AI

What is a chatbot flow?

A chatbot flow is an automated conversation defined as a graph of nodes: a trigger (a keyword, a first message, a button, an ad, a form) starts it, message and question nodes talk to the customer, condition nodes branch on their answers or on contact data, action nodes update the CRM or call other systems, and a handoff node passes the conversation to a person.

Updated 29 Aug 2026 · 1 min read

On this page
  1. Why it matters
  2. In VGraple CRM
  3. Related terms

AUTOMATION AND AI

Chatbot flow

A chatbot flow is an automated conversation defined as a graph of nodes: a trigger (a keyword, a first message, a button, an ad, a form) starts it, message and question nodes talk to the customer, condition nodes branch on their answers or on contact data, action nodes update the CRM or call other systems, and a handoff node passes the conversation to a person.

flow nodekeyword triggerdrip sequencehuman takeover

Chatbot flow in one line

Why it matters

Flows are how a business answers at 2 am, qualifies a lead before a salesperson calls, books an appointment or takes an order without staff. On WhatsApp they lean on interactive messages (buttons, lists, WhatsApp Flows) so customers tap instead of type, which makes branching reliable and response rates high.

In VGraple CRM

The flow builder is a drag-and-drop canvas with 16 node types including messages, templates, buttons, lists, WhatsApp Flow forms, conditions, delays, AI response, CRM actions, webhooks and human handoff; flows run per channel with a handset preview and a test mode. Every run is logged on the conversation. The flow builder guide walks through building the first one.

Flow node, Keyword trigger, Drip sequence, Human takeover, WhatsApp Flows.

Frequently asked questions

Is a chatbot flow the same as a WhatsApp Flow?
No. A WhatsApp Flow is Meta's in-chat form; a chatbot flow is the conversation logic that may open one.
Can a flow send templates?
Yes. Template nodes send approved templates when the 24-hour window is closed.
What happens when a customer types something the flow does not expect?
The fallback message or the AI response node handles it, or the flow hands off to a person.

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