1.Catches incoming chat webhook
Integrate Webhooks by Zapier, chat APIs, and payload mapping to receive the live chat event and match thread identifiers.
Route live chat messages into an AI response workflow
Automatically catch incoming live chat webhook events across Webhooks by Zapier, Code by Zapier, Filter by Zapier, and your AI workflow endpoint. Start an AI processing run when live chat webhooks arrive, new thread identifiers appear, or incoming payloads updateβso you can draft replies, route metadata, and reduce manual triage without manual triage.
How this automation launches AI reply workflows
When an incoming live chat webhook arrives, delays can stall response quality and frustrate visitors. This automation captures chat events and fetches conversation messages and starts AI processing runsβso your team can respond faster.
Webhooks by Zapieror swap with your favorite app
2.Gets conversation message list
Integrate Webhooks by Zapier, conversation APIs, and message retrieval to call the conversation endpoint and return full message JSON.
3.Runs JavaScript normalization
Integrate Code by Zapier and data parsing to extract latest incoming text, visitor id, and build a normalized payload.
Code by Zapieror swap with your favorite app
4.Filters for incoming messages
Integrate Filter by Zapier and routing rules to continue only when the latest direction indicates an incoming user message.
Filter by Zapieror swap with your favorite app
5.Posts to AI workflow endpoint
Integrate Webhooks by Zapier and AI processing endpoints to send the normalized payload and start an AI processing run.
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Step 1
Connect your tools
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Step 2
Define the trigger
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Step 3
Automate and measure
Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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