Extract lead details during chatbot conversations
When a new lead is captured in chat via echowin, automatically run the conversation text through Google Vertex AI to classify intent and extract key contact metadata.
See all Google Vertex AI + echowin integrations or talk to a human
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Google Vertex AI Explore Google Vertex AI →
TriggersFires when Google Vertex AI returns a completion, prediction or other result.
Fires when a request to Google Vertex AI errors or times out.
Fires when a fine-tuning job in Google Vertex AI finishes.
Sends a prompt to Google Vertex AI and returns the model's response.
Sends text, an image or other data to Google Vertex AI and returns the model's output.
Uses Google Vertex AI to classify or extract structured data from text or images.
echowin Explore echowin →
TriggersFires when a new chat or conversation begins in echowin.
Fires when echowin captures a lead during a conversation.
Fires when echowin escalates a conversation to a human.
Sends a message to a user through echowin.
Asks echowin a question against its knowledge base and returns the answer.
Uses echowin to summarize a chat transcript.
Opens a support ticket from an echowin conversation.
More Google Vertex AI + echowin workflows
Send custom completions back to chat visitors
When a conversation starts in echowin, generate a completion in Google Vertex AI and send a tailored message directly back to the visitor.
See details
Alert support agents when model fine-tuning completes
When a fine-tune job completes in Google Vertex AI, automatically send a message through echowin to notify AI administrators that the updated model is ready.
See details
See all Google Vertex AI + echowin integrations → · Browse the full workflow library →
Common questions
Can Knit build “Extract lead details during chatbot conversations” between Google Vertex AI and echowin?
Yes — describe it in the box above and Knit's Integrations Agent researches Google Vertex AI and echowin's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
How does connecting echowin to Google Vertex AI expand chatbot capabilities?
Connecting echowin to Google Vertex AI allows your chatbot to tap into advanced AI models for deeper context, sentiment classification, and sophisticated text generation beyond standard scripted responses.
Can echowin notify operators if a backend model process encounters an issue in Google Vertex AI?
Yes, when a model run fails in Google Vertex AI, you can send an automated message or alert through echowin to notify system administrators.