Classify and tag incoming leads using AI text analysis

When a new lead is captured in BotConversa, run their submission details through Stack AI to classify intent and apply appropriate tags in BotConversa.

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See all BotConversa + Stack AI 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.

BotConversa Explore BotConversa →

Triggers

New lead captured

Fires when a new lead or contact is captured in BotConversa.

Contact enters a workflow

Fires when a contact enters an automation in BotConversa.

Contact updated

Fires when a field on a contact changes in BotConversa.

Contact unsubscribed

Fires when a contact unsubscribes in BotConversa.

Actions

Create or update a contact

Creates or updates a contact in BotConversa.

Add a contact to a campaign

Adds a contact to a workflow or campaign in BotConversa.

Send a message

Sends an email or message to a contact via BotConversa.

Apply or remove a tag

Changes a contact's tags in BotConversa.

Stack AI Explore Stack AI →

Triggers

New completion generated

Fires when Stack AI generates a response to a prompt.

Model run failed

Fires when a request to Stack AI errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Stack AI finishes.

Actions

Generate a completion

Sends a prompt to Stack AI and returns the model's response.

Summarize text

Uses Stack AI to summarize a block of text.

Classify or extract data

Uses Stack AI to classify or extract structured data from text.

Generate personalized messaging for campaign contacts When a contact enters a workflow in BotConversa, use Stack AI to generate custom text completions that tailor outreach messages to the user. See details

Update lead scores when AI fine-tuning completes When a fine-tune job completes in Stack AI, automatically update contact records in BotConversa to apply updated classification rules across leads. See details

See all BotConversa + Stack AI integrations → · Browse the full workflow library →

Enterprise-grade security

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FAQ

Common questions

Can Knit build “Classify and tag incoming leads using AI text analysis” between BotConversa and Stack AI?

Yes — describe it in the box above and Knit's Integrations Agent researches BotConversa and Stack AI'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 can AI models enhance marketing automation campaigns?

By processing incoming lead details through Stack AI, you can generate personalized email copy, classify lead intent, or summarize notes in BotConversa.

Can AI classify lead categories automatically when new contacts sign up?

Yes, when a new lead is captured in BotConversa, AI capabilities in Stack AI can extract key insights and apply accurate tags to the contact record.