Early Jev AI use case
Lead Cleanup
An early Jev AI use case that turns messy contact exports into reviewed, outreach-ready leads while keeping decisions explainable.
On Jev AI's second day after launch, I identified lead qualification as a practical use case and integrated it into an existing workflow. Lead Cleanup accepts CSV or XLSX contact exports, applies clear rules, finds duplicates, and sends uncertain cases for human review.
THE OPERATING FLOW
CASE STUDY
The challenge
Contact exports contain inconsistent job titles, duplicates, and old qualification labels that cannot be trusted as final decisions. Sales teams need to know which leads are ready for outreach and why.
What I designed and built
- Kept explicit policy rules and duplicate handling deterministic so the same input gets the same decision.
- Integrated Jev AI quickly into the existing flow for typed suggestions on ambiguous seniority and function; people approve or reject those suggestions.
- Separated the ready-to-contact export from the audit and review queue so provisional leads are not sent out as approved.
Outcome
- A concrete early Jev AI use case that fits into an existing, explainable lead workflow.
- A review queue and audit file that show why each contact was accepted, rejected, or held.
Private contact exports and credentials are not published. AI suggestions remain provisional until reviewed.