Case study
Making Sense: +1,000 signals detected
ZalesMachine System via email and LinkedIn + "Inner Circle" automation.
We built their US outbound system and an automation that monitors CRM leads for pipeline signals, then automatically generates an email draft for the account manager assigned to each account.
Results
+1,000
signals detected
+3,000
mails created.
System layers involved
The ZalesMachine System has three layers. These are the ones this project used:
Outbound
Outbound as a Service: end-to-end email + LinkedIn outreach with AI personalization, run by us and reviewed by you. Live in 3-4 weeks.
AI Agents
AI Agents as a Service: custom agents and automations, one at a time, each in production before the next one starts.
Who we worked with

Marcelo Spezia
Lead Generation Manager and RevOps @ MakingSense
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