Making Sense company logo with a circular design element to the left.Software Factory

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 - MakingSense
Marcelo Spezia

Lead Generation Manager and RevOps @ MakingSense

More case studies

Case studies