Lead Qualification Agent
sales
1
The Problem
Sales teams waste time chasing leads that will never convert. Meanwhile, hot prospects sit in the queue getting cold because everyone looks the same in a spreadsheet.
The Solution
An AI agent that researches incoming leads, scores them based on your criteria, and prioritizes your sales team's outreach automatically.
How It Works
- Trigger: New lead enters CRM (form submission, import, etc.)
- Enrich: Agent looks up company info, LinkedIn, website
- Score: Evaluates against your ideal customer profile
- Prioritize: Assigns score and recommended action
- Route: Hot leads get instant alerts; cold leads get nurture sequence
Tool Stack
- HubSpot/Salesforce: CRM integration
- Clearbit/Apollo: Data enrichment
- Claude/GPT-4: Qualification analysis
- n8n: Workflow orchestration
- Slack: Sales team notifications
Example Prompt
You are a B2B lead qualification specialist. Evaluate this lead against our Ideal Customer Profile.
ICP Criteria:
- Company size: 50-500 employees
- Industry: SaaS, Technology, E-commerce
- Role: Director level or above
- Location: North America or Europe
Lead Information:
{{lead_data}}
Enrichment Data:
{{enrichment_data}}
Respond with:
{
"score": 1-100,
"tier": "hot|warm|cold",
"icp_match": {
"company_size": "match|partial|no",
"industry": "match|partial|no",
"role": "match|partial|no",
"location": "match|partial|no"
},
"reasoning": "Brief explanation",
"recommended_action": "immediate_call|email_sequence|nurture|disqualify",
"talking_points": ["point1", "point2"]
}
Implementation Tips
- Define your ICP clearly before building—garbage in, garbage out
- Start with simple scoring (3-5 criteria) and expand
- Review agent decisions weekly to calibrate
- Hot leads should trigger immediate Slack/SMS alerts
When to Use This
- Receiving 20+ new leads per day
- Sales team complains about lead quality
- No consistent qualification process exists
- You have clear ICP criteria defined
Limitations
- Enrichment data isn't always accurate or available
- Can't assess "gut feel" factors like timing or intent
- Works best for B2B with researchable companies
- Needs periodic recalibration as market changes