Open ROs go quiet
The customer is waiting. The advisor is on the drive. Nobody is watching aging tickets unless someone thinks to look.
Automotive Service
Your shop-management software already knows which ROs are aging, which work was declined, which customers haven't received an update, and how the day is loading up. The problem is that someone still has to remember to look. Cortex connects AI agents to your existing shop systems so they can continuously watch those workflows, prepare the next action, and alert your team when human judgment is needed.
The operating reality
If the writer is out, the follow-up is out.
The stalls we hear in this trade every week.
The customer is waiting. The advisor is on the drive. Nobody is watching aging tickets unless someone thinks to look.
The recommendation was logged. The follow-up was not. That revenue leaves with the car.
Hours, comebacks, A/R, ads. Someone builds it by hand from three logins.
They get handled as a favor and never show up as a pattern.
Google Ads runs. Nobody checks it against the actual cars that booked.
Examples. Your list comes from the audit, not a template.
Agents monitor open repair orders and flag stalls, missing approvals, and customers waiting too long.
Logged recommendations get a next action, not a sticky note.
A daily owner summary from the systems you already run.
Ads, reviews, and lead flow checked against what the shop actually booked.
Examples of systems we commonly evaluate for integration. Independent shops usually run a shop-management system plus a CRM, ads, reviews, and QuickBooks. Dealers and collision add their own. We connect agents to the stack you already have.
Named tools are examples we see in this trade, not a certified integration list. What we can connect depends on APIs, vendor access, and the audit. We do not replace these systems.
Audit. Design. Build. Deploy. Manage. Your existing software stays in place.
Software stack, repetitive paths, follow-up that depends on memory.
Which agents, which systems, what they may do, and what requires a person.
Agents around those paths, connected to the tools you already use.
Permissions, approvals, testing.
Monitoring, connectors, improvements.
Start with a Free AI Operations Audit. We'll show you what is worth automating, what isn't, and what a practical first deployment could look like.