THE JOURNAL CASE STUDY · 22 SEPTEMBER 2026
1 MIN READ
(CASE STUDY) PUBLISHED · UPDATED · 1 MIN READ · LEAD GENERATION

The 30-day funnel: how a five-person team grew pipeline by 75%

A five-person sales team, a list nobody had time to work, and thirty days. What the system did, what the people kept, and the numbers at the end of it.

Building a qualified pipeline in thirty days with AI agents
Building the pipeline one block at a time: thirty days, one team, no new hires. PHOTO · U [IN] AI LAB

01 — The ask

Find more qualified conversations without adding headcount. The team was not short of a market; it was short of the hours needed to research it.

02 — What we built

The profile came first: which companies had actually closed, what they had in common, and which signals said the need was live now. Then the agents — list building, enrichment, first touch, reply qualification — and the panel where every lead is accepted or appealed.

03 — What changed

Pipeline grew by about three quarters in the first month and manual prospecting dropped by roughly two thirds — same five people, same market, different allocation of their attention.

04 — What we would change

We would spend the first week narrower. Two of the four segments we tested were never going to answer, and we knew enough on day three to stop them.

+75% Qualified pipeline after 30 days
−62% Time spent on manual prospecting
FILED UNDER Lead generationAI agentsCase studies
Olga Bialkovich Founder · AI and marketing strategy Olga founded the lead-generation product that now runs as U [in] AI, and she sets the direction of the lab: which parts of marketing are worth automating, and which stay with people. Her working claim is a practical one — a system built around the right profile and the right message takes up to 60% out of the cost of finding customers and partners.
05 — YOUR TURN

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