Extract lead details during chatbot conversations
When a new lead is captured in chat via Twise, automatically run the conversation text through Wordware to classify intent and extract key contact metadata.
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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.
Twise Explore Twise →
TriggersFires when a new chat or conversation begins in Twise.
Fires when Twise captures a lead during a conversation.
Fires when Twise escalates a conversation to a human.
Sends a message to a user through Twise.
Asks Twise a question against its knowledge base and returns the answer.
Uses Twise to summarize a chat transcript.
Opens a support ticket from an Twise conversation.
Wordware Explore Wordware →
TriggersFires when Wordware returns a completion, prediction or other result.
Fires when a request to Wordware errors or times out.
Fires when a fine-tuning job in Wordware finishes.
Sends a prompt to Wordware and returns the model's response.
Sends text, an image or other data to Wordware and returns the model's output.
Uses Wordware to classify or extract structured data from text or images.
More Twise + Wordware workflows
Send custom completions back to chat visitors
When a conversation starts in Twise, generate a completion in Wordware 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 Wordware, automatically send a message through Twise to notify AI administrators that the updated model is ready.
See details
See all Twise + Wordware integrations → · Browse the full workflow library →
Common questions
Can Knit build “Extract lead details during chatbot conversations” between Twise and Wordware?
Yes — describe it in the box above and Knit's Integrations Agent researches Twise and Wordware'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 Twise to Wordware expand chatbot capabilities?
Connecting Twise to Wordware allows your chatbot to tap into advanced AI models for deeper context, sentiment classification, and sophisticated text generation beyond standard scripted responses.
Can Twise notify operators if a backend model process encounters an issue in Wordware?
Yes, when a model run fails in Wordware, you can send an automated message or alert through Twise to notify system administrators.