How I designed a multi-agent AI support copilot

Every support ticket starts the same way at our SaaS company: open the ticket, scan the description, then spend the next 15 minutes manually gathering context across five different systems. Check application telemetry for exceptions. Look up the customer in the CRM. Grep provisioning logs for failed sync events. Search work item systems and source control for related bugs. Cross-reference identity policy config if authentication is involved. That context is all out there. It's just scattered. By the time you've assembled it, you've already spent most of your time budget on information retrieval, not on reasoning. That's what I set out to fix. This is the first post in a series about the multi-agent AI support copilot. The idea: a side-by-side AI copilot, not a replacement The typical AI support story starts with a ticket routing chatbot or an automatic responder. That's not this. We're not changing the helpdesk agent's job or asking the model to speak to the customer. Instead, we start