Revenue operations, run by agents.

An auto dealership group whose CRM held years of lapsed customers, open recalls, overdue maintenance and declined work: a warm audience it already owned. None of it was being worked, because the data lived across fragmented tools and nobody had the hours to stitch lists, campaigns and follow-up together by hand.

The audit also found that staff spent about a fifth of their paid hours waiting on repairs in progress. Idle capacity, sitting next to an unworked customer file.

An agent-run marketing engine that reads the group's own CRM and runs personalised 1:1 email and SMS campaigns under the dealership's own domain, wired into their existing scheduling software so every message is one tap from a booked appointment. Each message written for the customer receiving it, never a templated blast.

Beside it, an AI-prioritised calling queue: each week the system scores the customer base on recall eligibility, service history and likelihood to book, then delivers a ranked call list straight to the inboxes of the stores' own advisors and cashiers. No new software to learn. Open the email, work the queue in the idle minutes between customers.

Both systems launched inside the first month of the engagement, and net-new revenue was showing up, statistically significant, within four weeks. At the first store to go live, nine weeks of campaigns and calls lifted repair volume, and service revenue with it, by 8%: roughly half from customers who engaged with a campaign and booked, half from the calling queue, which produced the highest-value appointments of any channel. By month four, ownership had rolled the systems out across the group.