OUTBOUND + HANDOFF

Arco Educação: +1,100% schools per SDR with AI

Challenge

The bottleneck was not a lack of leads. It was the time an SDR spent reaching the decision-maker: every school meant getting past the front office, finding the principal and qualifying from scratch, which left little time for the meetings that create pipeline.

Solution

What follows is the mechanism, not the result. Each stage now feeds the next.

Results

+1.100%

Schools worked per SDR

+66%

Booking volume

-71%

Cost per result

R$27

ROI per R$1 invested

An operation at volume cannot rely on memory to keep every opportunity moving.

Brazil's largest education technology hub, focused on solutions for K-12 schools. Over 12,000 schools and R$3 billion in revenue.

When the route breaks, the problem shows up between the stages.

01 · INTAKE

Outbound bottleneck: the team burning time getting past gatekeepers to reach the decision-maker.

Every contact started at the school's front office, before reaching whoever decides.

02 · CONTINUITY

Limited market coverage: no human capacity to work through the cold base.

With the team at full capacity, the cold base sat untouched.

03 · HANDOFF

Low efficiency: SDRs overloaded with initial qualification instead of booking meetings.

SDR time went into first conversations, not meetings.

Sailer connected intake, execution and handoff into one continuous journey.

01 · INTAKE AND CONTEXT

Smart sweep: an AI agent navigating gatekeepers to identify, qualify and engage school directors.

02 · EXECUTION WITH RHYTHM

Hybrid SDR: the AI absorbs high-volume qualification, freeing humans for high-value opportunities.

ReplyQualifyRecoverAdvance

03 · HANDOFF

Frictionless handoff: lead and full conversation context passed over as soon as interest shows.

What changed in practice.

A direct comparison between the previous setup and the mechanism behind the change, without repeating the headline.

Dimension	Before	With Sailer
Lead intake	SDRs opening doors school by school until they found the principal.	The AI agent reaches the principal on WhatsApp and qualifies inside the conversation.
Coverage	A cold base left untouched for lack of hands.	The cold base is worked at volume: +1,100% schools per SDR per month.
CRM records	Every attempt relied on the SDR to reach Salesforce.	Conversation, qualification and next step logged in Salesforce.
Handoff to the team	SDRs overloaded with first-touch qualification.	Handoff with full context as soon as interest shows; the SDR steps in to book the meeting.

Arco Educação is Brazil's largest education technology hub, with more than 12,000 schools in its network and R$3 billion in revenue. In outbound to schools, the limit was human: each SDR spent much of the day trying to reach the principal, and the cold base kept growing untouched.

Sailer AI put an AI agent on WhatsApp to open those doors. The agent gets past the front office, identifies the principal, qualifies interest and hands the conversation to the SDR with full context, logged in Salesforce. SDRs stopped spending the day on first conversations and focused on meetings.

The result: +1,100% schools worked per SDR per month, +66% meetings booked and a 71% lower cost per result. Every R$1 invested returned R$27.

In 2026, Arco took the same logic to its consultants with Sailer Fleet: 125 of 135 consultants connected their own number within two months, sending 16,500 messages to more than 8,000 schools with a 26% response rate.

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