Top Brazilian K-12 Education Network — From a 21-person enrollment team to 3: how a Brazilian K-12 network closed its 7-day lead lag
Client · Education Enrollment
Top Brazilian K-12 Education Network
ClientTop Brazilian K-12 Education Network
SectorEducation Enrollment
IndustryEducation
RegionBrazil

From a 21-person enrollment team to 3: how a Brazilian K-12 network closed its 7-day lead lag

A 111-school education group processed 5,113 leads per month through a 21-person enrollment team that took 7 days to assign a student to a school. HomoDeus collapsed the pipeline into an agentic system that does it in 11 minutes.

Major Brazilian education group with 111 schools. Naming pending client approval.

One of the largest Brazilian K-12 education networks runs 111 schools and inbounds thousands of family inquiries every month through WhatsApp, email, paid ads, and partner referrals. The enrollment team of 21 people manually triaged each lead, qualified the family, picked the best-fit school by geography and profile, and scheduled a campus visit. The cycle took 7 days on average, and conversion bled out the whole way down the funnel.

Outcomes

21 → 3enrollment team headcount (85% reduction)
11 minutesnew lead-to-assignment time (was 7 days)
5,113monthly leads processed at peak
111schools the system serves end to end

A 7-day lead lag is now an 11-minute pipeline. The same 5,113 leads per month flow through with 85% less headcount, and conversion compounds because no inquiry sits unanswered.

The problem

Every lead required a human read of the inbound message, a check of the family's location and student profile against the network's 111 schools, a manual handoff to the right campus, and a sequence of follow-ups. The 21-person enrollment team was always behind, the CRM was always stale, and the 7-day lag between first contact and school assignment was the single biggest drag on enrollment conversion.

What we built

HomoDeus built an agentic lead-to-assignment pipeline directly connected to the network's CRM. Agents handle inbound qualification across all channels (WhatsApp, email, web forms), classify the right school by location and student profile, schedule the campus visit, and route every interaction back to the CRM with a full audit trail. Humans only touch the final school assignment when an exception fires. The 21-person team is now 3 people supervising the system, and they handle higher-value relationship work the agents cannot replicate.

Stack

  • CRM integration layer
  • Multi-channel lead qualification agent
  • School-matching classifier
  • Scheduling and follow-up agent
  • Exception escalation interface

Time to production

Lead-to-agent pipeline in production across the network

Questions a C-suite leader will ask

Can AI replace a K-12 enrollment team?

AI can absorb most of the rote triage and routing. HomoDeus reduced a 21-person K-12 enrollment team to 3 people while processing 5,113 leads per month across 111 schools, with lead-to-assignment time dropping from 7 days to 11 minutes.

How does an AI agent qualify school enrollment leads?

The agent reads the inbound message across any channel, extracts location and student profile, checks fit against every school in the network, schedules the visit, and writes the full interaction back to the CRM. Humans only step in on exceptions.

What is the ROI of AI for education enrollment?

For a major Brazilian K-12 network with 111 schools, HomoDeus delivered an 85% headcount reduction in the enrollment team and compressed a 7-day lead-to-assignment lag into 11 minutes across 5,113 monthly leads. Conversion compounds because no inquiry waits.

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