Verbal uses Recall.ai to streamline video meeting integration for AI-driven clinical documentation
Verbal's AI clinical documentation platform required seamless access to patient-provider video conversations across multiple meeting apps, but building custom integrations in-house required a dedicated engineer, two to three months of development per platform, and ongoing maintenance for scalability and stability issues.
Verbal's homegrown meeting-platform integrations required a dedicated engineer who spent two to three months per platform and still needed ongoing attention for scalability and stability problems discovered after launch.
By switching to Recall.ai, Verbal completed the Zoom integration in one and a half to two weeks and freed their entire engineering team to build new features rather than maintaining meeting-platform integrations.
Frequently asked questions
What did this team achieve with this AI workflow?
By switching to Recall.ai, Verbal completed the Zoom integration in one and a half to two weeks and freed their entire engineering team to build new features rather than maintaining meeting-platform integrations.
What tools did this team use?
Recall.ai, Zoom.
What results were reported?
Homegrown integration build time: two to three months; Recall.ai integration switch time: one and a half to two weeks; Engineering team capacity for new features: able to allocate the entire team in building new features (source-reported, not independently verified).
What failed first in this deployment?
Verbal's homegrown meeting-platform integrations required a dedicated engineer who spent two to three months per platform and still needed ongoing attention for scalability and stability problems discovered after launch.
How is this clinical documentation AI workflow structured?
Patient meeting on video call → Recall.ai captures meeting data → AI analyzes conversation data → Clinical documentation generated.