Three agents, one lead flow: the math behind −62%
We rebuilt qualification for an agri-tech distributor. Every number, every hand-off, every mistake on the way.
01 — What we started with
Two people spent most of the week on research: building lists, checking whether a company was worth a call, writing the first message. The pipeline grew exactly as fast as those two could type.
02 — What we built
Three narrow agents, each with one job and one place to fail visibly: one builds and enriches the account list, one writes the first touch against what the research found, one reads the replies and sorts them against the qualification bar the client set.
Nothing about this is clever. The work was deciding what “qualified” meant precisely enough that a machine could apply it, and then letting the sales team appeal every decision it got wrong.
03 — What it produced
Manual prospecting time fell by roughly two thirds with the same five people. The part that mattered was not the volume; it was that the team stopped spending its best hours on research nobody remembers doing.
Katsiaryna Tsyrkina Product owner · AI solutions Katsiaryna owns the product side of U [in] AI and promotes its AI solutions to businesses worldwide. Her job is the distance between what the agents can do and what a client actually receives: the client panel, the way leads arrive with their context attached, and the accept-or-appeal flow that keeps the quality bar with the customer. 
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