I’m currently working with a major hospital in our city that is exploring the implementation of AI-based voice/message agents. We’re evaluating VAPI and I’d like to understand if the platform supports large-scale operations. Specifically, we’re looking at: High-volume message handling (hundreds or thousands per day) Routing and connecting to over 100 doctors, each from different specialties Possibly scheduling, triage or dynamic conversation flows Can VAPI handle this scale reliably? Are there any best practices or limitations I should be aware of when building for a healthcare client at this level? Thanks in advance! 🙏

Vapi is built to handle high concurrency and large-scale operations, supporting 1000+ concurrent sessions and is HIPAA compliant for healthcare use cases. You can implement dynamic routing, scheduling, and triage flows using Vapi's modular APIs and workflow tools, but custom logic will be needed to route to 100+ doctors. For best results, ensure your server endpoints are highly available and respond within required timeframes. For enterprise-scale deployments, Vapi offers reserved capacity and dedicated support—contact their team for tailored solutions and best practices for your hospital's needs. Sources: - [Vapi FAQ – High Concurrency, Healthcare Compliance, and Enterprise Support](https://docs.vapi.ai/faq) - [Vapi HIPAA Compliance](https://docs.vapi.ai/security-and-privacy/hipaa) - [Vapi Workflows](https://docs.vapi.ai/workflows) - [Vapi Enterprise Plans](https://docs.vapi.ai/enterprise/plans)

Yes, VAPI can handle high concurrency and has various levels. For pricing, you can visit our pricing page and see what available plans meet your needs: