Aircall with AI: Turning Missed Calls into Follow-Up Workflows
Most "AI for call centers" demos stop at call history: fetch a recent call, summarize the transcript, and move on. That is useful for a screenshot. It does not help a support or sales team run the queue.
Picture this instead. Ten calls were missed while the team was in a meeting. Two came from existing customers. One came through a number that should have been assigned to the sales queue. Three agents are marked unavailable. The tags are inconsistent, so the weekly report undercounts escalations. A manager wants the follow-up list now, not a CSV export.
We see the same pattern across support teams: the hard part is rarely one missing field. It is the scattered context around the call.
We rebuilt the Aircall MCP server around that operations loop: validate the connection, read the account shape, list and inspect calls, match contacts, understand teams and numbers, then make narrow updates only where Aircall supports them.

