Sensitive meeting audio in, speaker-attributed summary out, and a hard guarantee that the raw transcript never lands on disk. The strong answer keeps everything on-prem, processes transcripts in memory only, and proves non-retention with architecture and audit, not a policy promise.
Design a fully on-premise diarization and summarization pipeline for sensitive meeting recordings that provably does not retain transcripts
Sensitive meeting audio in, speaker-attributed summary out, and a hard guarantee that the raw transcript never lands on disk. The strong answer keeps everything on-prem, processes transcripts in memory only, and proves non-retention with architecture and audit, not a policy promise.
Updated Sep 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
The screen is whether the candidate makes non-retention an architectural property rather than a setting. A junior answer disables logging and calls it done; a senior one pins transcripts to memory with no spill, encrypts every boundary, processes ephemerally, and produces an audit trail that proves nothing was written. Watch for the candidate who reaches for a cloud STT API, which violates on-prem on the first step, or who retains audio to enable re-runs and never notices that defeats the whole point.
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