Recall.ai powers timeOS Smart Meeting Insights with reliable meeting recordings
timeOS needed accurate meeting recordings and transcripts to power their Smart Meeting Insights feature, but their self-built recorder produced poor sound quality and inaccurate transcripts while consuming engineering time that should have gone to core product development.
timeOS's self-built recording solution under-delivered with poor sound quality and inaccurate transcripts, prompting user feedback that forced the team to seek an external solution.
Recall.ai delivered high-quality recordings with better speaker classification and A/V quality, producing more accurate transcripts and freeing the engineering team to build core product features, resulting in consistent product growth.
Frequently asked questions
What did this team achieve with this AI workflow?
Recall.ai delivered high-quality recordings with better speaker classification and A/V quality, producing more accurate transcripts and freeing the engineering team to build core product features, resulting in consist…
What tools did this team use?
Recall.ai, Zoom, Google Meet, Microsoft Teams.
What results were reported?
Transcript accuracy: transcripts were more accurate; Product growth: consistent growth in our product (source-reported, not independently verified).
What failed first in this deployment?
timeOS's self-built recording solution under-delivered with poor sound quality and inaccurate transcripts, prompting user feedback that forced the team to seek an external solution.
How is this back office ops AI workflow structured?
Meeting on video platform → Recall.ai bot captures recording → Speaker classification → Transcript production → Smart Meeting Insights.