Magical API + Read AI Integration

You're reviewing interview outcomes across multiple candidate pools but your tracking reports only update when someone manually exports candidate scores, so the metrics you're reporting against are always a few hours behind — this integration means every ended meeting triggers automated resume processing and your hiring metrics stay current.

You need to evaluate candidate responses immediately after screening calls, but notes remain trapped inside unformatted meeting recordings until someone types them up — with this integration, candidate profiles and resume insights populate your workflow the moment the call concludes.

You answer to corporate clients who want immediate progress updates after every candidate interview call, but manual status logging slows down your reporting — this integration means every finished conversation automatically updates your client tracking databases.

The volume of candidate screening calls is too high for anyone to keep up by hand with manual data transfer and resume scoring, leading to missed follow-up actions — automating both apps means every resume is scored and logged instantly without manual effort.

You own the next interview scheduling step and depend on recruiters upstream to hand over candidate details before you can book calls, causing frustrating bottlenecks — connecting these apps means candidate profiles arrive in your system the second the meeting ends.

You need a reliable history of candidate evaluations and interview feedback, but you keep finding gaps where notes were missed or forgotten after busy interview days — with this integration, every conversation creates a structured record automatically.