Enrich and classify incoming sales leads with AI

When a new lead is created in Act!, pass their submitted notes to AssemblyAI to automatically extract key buying signals and categorize their industry.

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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.

Act! Explore Act! →

Triggers

New lead created

Fires when a new lead or contact is created in Act!.

Deal stage changed

Fires when a deal moves to a new stage in Act!.

Deal won

Fires when a deal is marked won in Act!.

Contact updated

Fires when a field on a contact changes in Act!.

Actions

Create or update contact

Creates or updates a contact in Act!.

Create deal

Creates a new deal in Act!.

Update deal stage

Moves a deal to a new stage in Act!.

Log activity

Logs a call, email, or note against a record in Act!.

AssemblyAI Explore AssemblyAI →

Triggers

New completion generated

Fires when AssemblyAI generates a response to a prompt.

Model run failed

Fires when a request to AssemblyAI errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in AssemblyAI finishes.

Actions

Generate a completion

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

Summarize text

Uses AssemblyAI to summarize a block of text.

Classify or extract data

Uses AssemblyAI to classify or extract structured data from text.

Save AI account executive summaries directly to CRM deals When AssemblyAI generates an executive intelligence summary for a strategic account, log the summary directly onto the deal record in Act!. See details

Summarize customer interaction logs on updated contact profiles Whenever a contact's activity history is updated in Act!, ask AssemblyAI to digest the recent interactions into a brief executive overview. See details

See all Act! + AssemblyAI integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Enrich and classify incoming sales leads with AI” between Act! and AssemblyAI?

Yes — describe it in the box above and Knit's Integrations Agent researches Act! and AssemblyAI'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.

What's the most common AI Models + CRM automation?

Summarizing a deal or account's recent activity from Act! using AssemblyAI, or drafting a personalized follow-up email based on the contact's real history.

Can this write the AI's output back into the CRM record?

Yes — a summary, draft email, or score generated by AssemblyAI can be written straight back onto the relevant field or note in Act!.