Recall.ai saves Attention 9 months of engineering work with out-of-the-box meeting recording API
Attention couldn't reliably capture real-time audio from video conferencing platforms; their Zoom RTMP prototype was locked to Zoom only, caused UX friction with intrusive pop-up notifications and mandatory app installs, and produced a single mixed audio stream that made accurate speaker diarization extremely difficult.
Attention's Zoom RTMP streaming prototype had three critical flaws: it only worked with Zoom, it showed intrusive live-stream pop-ups that required users to install an app, and it produced a single mixed audio stream that made accurate speaker diarization extremely difficult.
Recall.ai saved Attention the equivalent of nine months of engineering work, significantly expanded their TAM by enabling Google Meet and Microsoft Teams integrations alongside Zoom, and freed up the engineering team to focus on core product features.
Frequently asked questions
What did this team achieve with this AI workflow?
Recall.ai saved Attention the equivalent of nine months of engineering work, significantly expanded their TAM by enabling Google Meet and Microsoft Teams integrations alongside Zoom, and freed up the engineering team…
What tools did this team use?
Recall.ai, Zoom, Microsoft Teams, Google Meet.
What results were reported?
Engineering time saved: 9 months; TAM increase: increased significantly overnight; Sales calls processed monthly: thousands of sales calls every month (source-reported, not independently verified).
What failed first in this deployment?
Attention's Zoom RTMP streaming prototype had three critical flaws: it only worked with Zoom, it showed intrusive live-stream pop-ups that required users to install an app, and it produced a single mixed audio stream…
How is this sales ops AI workflow structured?
Meeting bot auto-joins → Multi-platform audio capture → Per-speaker audio streaming → AI-powered real-time guidance → CRM updates and follow-up emails.