Enrich and classify incoming sales leads with AI
When a new lead is created in ClientPoint, pass their submitted notes to Clerk to automatically extract key buying signals and categorize their industry.
4.9/5 on G2·
Google for Startups Accelerator
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.
ClientPoint Explore ClientPoint →
TriggersFires when a new lead or contact is created in ClientPoint.
Fires when a deal moves to a new stage in ClientPoint.
Fires when a deal is marked won in ClientPoint.
Fires when a field on a contact changes in ClientPoint.
Creates or updates a contact in ClientPoint.
Creates a new deal in ClientPoint.
Moves a deal to a new stage in ClientPoint.
Logs a call, email, or note against a record in ClientPoint.
Clerk Explore Clerk →
TriggersFires when Clerk generates a response to a prompt.
Fires when a request to Clerk errors or times out.
Fires when a fine-tuning job in Clerk finishes.
Sends a prompt to Clerk and returns the model's response.
Uses Clerk to summarize a block of text.
Uses Clerk to classify or extract structured data from text.
More ClientPoint + Clerk workflows
Save AI account executive summaries directly to CRM deals
When Clerk generates an executive intelligence summary for a strategic account, log the summary directly onto the deal record in ClientPoint.
See details
Summarize customer interaction logs on updated contact profiles
Whenever a contact's activity history is updated in ClientPoint, ask Clerk to digest the recent interactions into a brief executive overview.
See details
See all ClientPoint + Clerk integrations → · Browse the full workflow library →
Common questions
Can Knit build “Enrich and classify incoming sales leads with AI” between ClientPoint and Clerk?
Yes — describe it in the box above and Knit's Integrations Agent researches ClientPoint and Clerk'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 ClientPoint using Clerk, 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 Clerk can be written straight back onto the relevant field or note in ClientPoint.