The problem

• Cold outreach is hard.
• Warm intros close faster.
• LinkedIn hides relationship mapping.

The solution
Clay + Agentic AI → scrape URNs, resolve to contacts, trigger intro requests.

Step 1: Collect LinkedIn URNs

• Use Clay’s LinkedIn connector or custom scrape.
• Target ICP roles at specific companies.
• Pull URNs into a Clay table.

Step 2: Resolve URNs to Profiles

• Run enrichment (Claygent + LinkedIn API).
• Map to:
  • Name
  • Title
  • Current company
  • Mutual connections

Step 3: Identify Mutuals

• Cross-check against your CRM.
• Look for overlap with:
  • Exec team
  • Investors
  • Advisors
  • Existing customers

Step 4: Use Agentic AI for Intro Drafts

• Prompt AI: “Draft a LinkedIn DM asking [mutual] to intro me to [prospect]. Keep it <50 words, casual, high-trust.”
• Clay auto-generates intro requests.
• SDR reviews before sending.

Step 5: Push Back Into Salesforce

• Write clean rows back to Salesforce.
• Include:
  • Prospect name
  • URN
  • Mutual connection
  • Intro request copy
• SDRs can trigger outreach in their sequence tools.

Why this matters

• Intros convert 3–5x better than cold.
• Faster trust-building.
• Scalable — can run daily, not manual.

Pro tips

• Deduplicate mutuals to avoid spamming.
• Weight investors + advisors higher than peers.
• Build Slack alerts when mutuals >3.

Outcome

• A repeatable pipeline of warm intros.
• Fewer cold touches, more high-trust convos.
• Clay becomes your “relationship graph engine.”

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