How Zinit runs its own outbound sales with AI agents

In this demo

1. 0:00One campaign, six stepsZinit is an AI-native procurement platform, and we run our own sales the same way, with every campaign treated as an experiment.
2. 0:29The customer profileOur team writes the ideal customer profile and adapts it into segments, and nothing launches until a person approves it.
3. 0:52Find companiesAgents check company data and the open web against the profile and keep the reasons and sources behind every judgement.
4. 1:12Find the peopleAgents score each decision maker out of 100, try approved contact services in order and verify the work email before anything is sent.
5. 1:43Personal outreachEach channel gets its own draft from the Zinit knowledge base, opening on one public fact about the company, in wording our team approved.
6. 2:17A person repliesAgents sort the reply and pause the other follow-ups, and a person takes the conversation from there.
7. 2:39Learn and repeatResults come back per segment and angle, and people decide what the next campaign changes.
8. 2:58What it adds up toAgents take on the repetitive SDR work, which can open more conversations for the same team, while deals still depend on the people who answer.

Every company, person, message and result shown is synthetic. Steps drawn in outline are concepts or proposed workflows that are not running today. Product names and logos belong to their owners and identify tools Zinit uses; no endorsement is implied.