Lead Enrichment Automation
Every lead, fully contextualized.
The Problem
- • Sales reps spend hours manually researching leads before making first contact.
- • CRM data decays rapidly — 30% of contact information becomes outdated within a year.
- • Tech stack information is critical for B2B sales but nearly impossible to gather at scale.
- • Intent signals are scattered across multiple platforms and rarely consolidated.
What This Blueprint Does
Casey, your AI Data Enrichment Analyst, automatically pulls leads from your CRM, researches each company, detects their tech stack, identifies intent signals, and enriches every profile with actionable intelligence.
- → Pulls leads from CRM and identifies enrichment gaps.
- → Researches company fundamentals, funding, and recent news.
- → Detects technology stack through job postings and public data.
- → Updates CRM with enriched profiles and re-scores lead quality.
Workflow Architecture
CRM Pull
AutonomousExtracts leads with incomplete profiles from CRM database.
Employee: Casey — Data Enrichment Analyst
Company Research
AutonomousGathers company size, industry, funding, and recent news from web sources.
Employee: Casey
Tech Stack Detection
AutonomousIdentifies technologies used by company through job postings and public data.
Employee: Casey
Intent Signals
AutonomousDetects buying intent from job postings, funding announcements, and tech changes.
Employee: Casey
Profile Enrichment
AutonomousCombines all research into structured lead profile with enrichment score.
Employee: Casey
Score Update
AutonomousUpdates CRM with enriched data and recalculates lead score.
Employee: Casey
Blueprint Details
AI Employee: Casey
Casey
Data Enrichment Analyst