Classify and tag incoming leads using AI text analysis

When a new lead is captured in AgentFire, run their submission details through Azure OpenAI to classify intent and apply appropriate tags in AgentFire.

Try:

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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.

Azure OpenAI Explore Azure OpenAI →

Triggers

New completion generated

Fires when Azure OpenAI generates a response to a prompt.

Model run failed

Fires when a request to Azure OpenAI errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Azure OpenAI finishes.

Actions

Generate a completion

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

Summarize text

Uses Azure OpenAI to summarize a block of text.

Classify or extract data

Uses Azure OpenAI to classify or extract structured data from text.

AgentFire Explore AgentFire →

Triggers

New lead captured

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

Contact enters a workflow

Fires when a contact enters an automation in AgentFire.

Contact updated

Fires when a field on a contact changes in AgentFire.

Contact unsubscribed

Fires when a contact unsubscribes in AgentFire.

Actions

Create or update a contact

Creates or updates a contact in AgentFire.

Add a contact to a campaign

Adds a contact to a workflow or campaign in AgentFire.

Send a message

Sends an email or message to a contact via AgentFire.

Apply or remove a tag

Changes a contact's tags in AgentFire.

Generate personalized messaging for campaign contacts When a contact enters a workflow in AgentFire, use Azure OpenAI 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 Azure OpenAI, automatically update contact records in AgentFire to apply updated classification rules across leads. See details

See all Azure OpenAI + AgentFire integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Classify and tag incoming leads using AI text analysis” between Azure OpenAI and AgentFire?

Yes — describe it in the box above and Knit's Integrations Agent researches Azure OpenAI and AgentFire'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 Azure OpenAI, you can generate personalized email copy, classify lead intent, or summarize notes in AgentFire.

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

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