Extract lead details during chatbot conversations
When a new lead is captured in chat via Aira, 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.
Aira Explore Aira →
TriggersFires when a new chat or conversation begins in Aira.
Fires when Aira captures a lead during a conversation.
Fires when Aira escalates a conversation to a human.
Sends a message to a user through Aira.
Asks Aira a question against its knowledge base and returns the answer.
Uses Aira to summarize a chat transcript.
Opens a support ticket from an Aira conversation.
Wordware Explore Wordware →
TriggersFires when Wordware generates a response to a prompt.
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.
Uses Wordware to summarize a block of text.
Uses Wordware to classify or extract structured data from text.
More Aira + Wordware workflows
Send custom completions back to chat visitors
When a conversation starts in Aira, 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 Aira to notify AI administrators that the updated model is ready.
See details
See all Aira + Wordware integrations → · Browse the full workflow library →
Common questions
Can Knit build “Extract lead details during chatbot conversations” between Aira and Wordware?
Yes — describe it in the box above and Knit's Integrations Agent researches Aira 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 Aira to Wordware expand chatbot capabilities?
Connecting Aira 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 Aira 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 Aira to notify system administrators.