FlowOps · AI Lead-to-CRM Automation (Concept)
Nicklaus Gray
Concept project. Self-initiated, not client work.
The problem
New leads often sit in an inbox for hours. Someone copies them into the CRM by hand, and by then the prospect has moved on.
The approach
Instant capture. Website forms and Calendly bookings trigger the workflow as soon as they come in.
AI qualification. An AI step reads the lead's answers and company details, gives a score, and sends hot leads to sales and the rest to nurturing.
CRM without typing. A HubSpot deal is created with the owner assigned automatically.
The team hears first. A Slack alert goes to the sales channel, and a personalized follow-up email goes to the lead.
Error handling. Failed steps are retried and logged, so no lead gets lost.
Stack
Make or n8n, OpenAI API, HubSpot, Slack and Calendly.
What a client gets from this kind of build
Faster replies to leads and less manual data entry, delivered as a documented workflow the team owns.
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Posted Sep 25, 2026
Concept project: an automation that scores new leads with AI, creates CRM deals, alerts sales in Slack and sends a follow-up automatically.
