AI Lead Qualification Agent9 nodes
FeaturedAI#LLM#Lead Generation#Slack#Sales#Qualification#AI
AI Lead Qualification Agent
Submit lead details — an LLM scores the fit 1–10, routes hot leads to Slack, and logs cold leads separately.
Workflow at a glance
The full canvas, before you import it
Click any node to see its config.
#LLM#Lead Generation#Slack#Sales#Qualification#AI
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9 nodes · Free & source-available
AI Lead Qualification Agent
Stop manually reviewing every inbound lead. Feed the lead details into this workflow and an LLM returns a qualification score plus a short rationale. High-scoring leads get an instant Slack ping to your sales channel; low scorers are logged for nurturing.
What this workflow does
- Input receives the lead's name, company, role, and use-case description
- LLM analyses the lead against your ICP and returns a JSON object with
score(1–10) andrationale - Condition branches on score ≥ 7 (hot) vs < 7 (cold)
- Slack (hot path) sends a formatted alert to your
#saleschannel - Output (Cold) logs the rationale for the nurturing queue
Use cases
- Auto-triage inbound demo requests
- Prioritise outbound sequences by fit score
- Feed into a CRM enrichment workflow
Setup
Connect an OpenAI credential. Update the LLM system instruction to include your Ideal Customer Profile. Add a Slack credential and set the channel name on the Slack node.
How to import this template
- 1Click Import → Copy JSON on this page.
- 2Open your Heym and navigate to a workflow canvas.
- 3Press Cmd+V / Ctrl+V — nodes appear instantly.
- 4Add your API keys in the node config panels and click Run.
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