# Three agents, one lead flow: the math behind −62% Source: https://u-in.ai/blog/three-agents-one-lead-flow/ Updated: 2026-10-12 - [THE JOURNAL](https://u-in.ai/blog/) - CASE STUDY - Three agents, one lead flow: the math behind −62% (CASE STUDY) PUBLISHED 24 SEPTEMBER 2026 · UPDATED 12 OCTOBER 2026 · 1 MIN READ · AI AGENTS # 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. [Katsiaryna Tsyrkina · Product owner · AI solutions](https://u-in.ai/authors/katsiaryna-tsyrkina/)[Olga Bialkovich · Founder · AI and marketing strategy](https://u-in.ai/authors/olga-bialkovich/) Three narrow agents, each with one job and one place to fail visibly. PHOTO · U [IN] AI LAB (IN THIS STORY) - [01 — What we started with](#01--what-we-started-with) - [02 — What we built](#02--what-we-built) - [03 — What it produced](#03--what-it-produced) 1 MIN READ (CASE FILE) - INDUSTRY: Agri-tech distribution - MARKET: South America - TEAM: Five-person sales team - TIMELINE: 30 days to first qualified flow ## 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. −62% Time spent on manual prospecting FILED UNDER AI agents Lead generation Automation [Katsiaryna Tsyrkina](https://u-in.ai/authors/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. (WHO ANSWERS) Katsiaryna Tsyrkina Product owner · AI solutions Reads every request and comes to the call with a first map of where agents would pay back in your funnel. REPLIES WITHIN ONE WORKING DAY [Or book the call yourself](https://calendly.com/obelkovich/new-meeting) (KEEP READING) [All stories](https://u-in.ai/blog/) OPINION 09 OCT · 5 MIN ### U [in] AI founder Olga Bialkovich publishes new article on AI agent consistency in Unite.AI Another conversation around U [in] AI has made its way into the international AI media space. Olga Bialkovich → https://u-in.ai/blog/olga-bialkovich-unite-ai-ai-agent-consistency/ STRATEGY 29 SEPT · 1 MIN ### Why most AI pilots in marketing never reach production Pilots are built to impress a steering committee, not to survive a Monday. What the fifth that ship do differently. Olga Bialkovich → https://u-in.ai/blog/ai-pilots-never-reach-production/ CASE STUDY 22 SEPT · 1 MIN ### 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. Olga Bialkovich → https://u-in.ai/blog/30-day-funnel/