Overview
If you have a developer, a webhook is the shortest route. When a conversation finishes, AI Chatbot posts the whole thing — contact, transcript, summary, source page — to a URL you choose.
From there it is yours: write it to your own database, enrich it, score it, or fan it out to internal services. No connector to wait for, and no third-party automation bill in the middle.
What you can do
These are the jobs the integration is built for.
Feed your own backend
Post each finished conversation to an endpoint you control and map it there.
Bridge a tool we do not list
Use the webhook as the escape hatch when there is no native connector yet.
Keep mid-chat actions separate
Integrations fire when a chat finishes; in-chat actions still belong to buttons and forms.
Set up
Connection happens inside your AI Chatbot widget. Open the Integrations tab, pick this connector, and follow the steps shown there.
- Open your AI Chatbot widget, go to the Integrations tab, and choose Webhooks.
- Paste the URL that should receive finished conversations.
- Send a test conversation and confirm your endpoint receives the payload.
Connected apps and their status are listed in Integrations in your widget, where you can disconnect access at any time.
Requirements
- An AI Chatbot widget that finishes conversations.
- An HTTPS endpoint that can accept the posted conversation payload.