Case study · Automation
Lead Intelligence Pipeline
An automated pipeline that discovers, enriches and organizes business leads.
- Discipline
- Automation
- Scope
- Discovery, enrichment, CRM integration
- Stack
- TypeScript, Node.js, PostgreSQL, REST APIs, Webhooks
The problem
The problem
Sales research meant searching directories, visiting company websites and copying details into a CRM by hand. The work was repetitive, inconsistent and hard to scale.
The approach
How we built it.
- 01Mapped the manual research process step by step.
- 02Automated discovery from a defined set of public sources.
- 03Added enrichment and de-duplication before anything reached the CRM.
- 04Routed qualified records to the right owner through the CRM's API.
System components
- Discovery jobs
- Enrichment
- De-duplication
- Qualification rules
- CRM sync
The outcome
Eliminated repetitive manual research.
- Manual lead research removed from the daily routine.
- Consistent, structured records in the CRM.
- Clear rules for what qualifies and who owns it.
Have a processthat shouldrun itself?
Tell us what is slowing you down. We’ll figure out what can be automated, engineered or rebuilt.