Why speaker-aware transcripts matter

The first version of meeting intelligence is often "send a transcript to a model and summarize it." That works for demos, but it breaks down in customer workflows because it loses who said what. A customer may state a requirement, a seller may make a commitment, and a manager may need the difference to be explicit.

Speaker-aware diarization gives the rest of the application better structure:

• Action items can include the speaker who committed to them.
• Risks can quote the exact customer concern.
• Follow-up email drafts can avoid attributing seller commitments to the customer.
• QA reviewers can spot-check speaker attribution by segment ID and timestamp.
• CRM sync jobs can store mechanically verifiable evidence rather than opaque summaries.