A sales team should spend its day selling. The hunting can go to an AI employee.

01 — Where it started

The sales team at a freight and logistics company was spending most of its day on research: finding the right companies, figuring out who to call and tracking down a number that works. By the time a rep was ready to sell, most of the day was gone.

02 — What was really going on

Prospect research is repeatable work with clear rules: who fits, who decides and how to reach them. That is exactly the kind of job an AI agent can do every day, as long as a person still owns the conversation.

03 — What I did

1. 01

   Built the agent. LeadRadar finds B2B buyers that fit the profile, every day.

2. 02

   Scored the fit. Each lead comes with a fit score and the reasoning behind it, so reps know why it’s on the list.

3. 03

   Verified before handoff. Phone numbers and contact roles are checked before a lead reaches the team.

4. 04

   Wrote the first email. The agent drafts the opening email for every prospect.

04 — The call that mattered

Testing on ten leads before scaling. A small, measurable test proved the leads were real: 10 of 10 numbers verified and 2 deals booked.

05 — What changed

• 2 deals booked from a 10-lead test.
• 10 of 10 phone numbers verified.
• 1 to 2 qualified prospects delivered a day, with no one on the team doing the research.

06 — What I'd tell you