Enrich and classify incoming sales leads with AI

When a new lead is created in servis.ai, pass their submitted notes to Token Metrics to automatically extract key buying signals and categorize their industry.

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See all servis.ai + Token Metrics 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.

servis.ai Explore servis.ai →

Triggers

New lead created

Fires when a new lead or contact is created in servis.ai.

Deal stage changed

Fires when a deal moves to a new stage in servis.ai.

Deal won

Fires when a deal is marked won in servis.ai.

Contact updated

Fires when a field on a contact changes in servis.ai.

Actions

Create or update contact

Creates or updates a contact in servis.ai.

Create deal

Creates a new deal in servis.ai.

Update deal stage

Moves a deal to a new stage in servis.ai.

Log activity

Logs a call, email, or note against a record in servis.ai.

Token Metrics Explore Token Metrics →

Triggers

New completion generated

Fires when Token Metrics generates a response to a prompt.

Model run failed

Fires when a request to Token Metrics errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Token Metrics finishes.

Actions

Generate a completion

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

Summarize text

Uses Token Metrics to summarize a block of text.

Classify or extract data

Uses Token Metrics to classify or extract structured data from text.

Save AI account executive summaries directly to CRM deals When Token Metrics generates an executive intelligence summary for a strategic account, log the summary directly onto the deal record in servis.ai. See details

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

See all servis.ai + Token Metrics 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 servis.ai and Token Metrics?

Yes — describe it in the box above and Knit's Integrations Agent researches servis.ai and Token Metrics'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 servis.ai using Token Metrics, 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 Token Metrics can be written straight back onto the relevant field or note in servis.ai.