AI workflow · Lighting exporter
Turning manual lead research into an AI workflow
AI handled initial filtering, lead scoring, and first-email drafts, leaving the founder's time for higher-value follow-up.
Where was it stuck?
The founder spent too much time manually screening LinkedIn prospects.
What did we change?
Built an AI-agent lead workflow scoring prospects by role, company scale, and recent signals, then drafting personalized first emails.
What assets were built?
Customer screening criteria, lead-scoring rules, first-email templates, and human-handoff boundaries.
Public-safe result
Customer-acquisition cost dropped by 60%, and founder time shifted toward better-fit prospects.
Who can use this as reference?
Teams with high-value orders, complex customer judgment, and founders consumed by lead screening.
This is a public-safe business breakdown. It does not disclose client names, contacts, contract scope, or private chats. Actual outcomes depend on industry, budget, materials, team execution, and time.