Interactive walkthrough
Patient Intake & Scheduling, Step by Step
Pick a request type, run it, then choose what happens next — a dental or medical practice request resolved in one exchange, with details generated fresh each time.
What happens outside the chat window
What's the request?
WALKTHROUGH
Why this matters
AI-handled intake cuts front-desk call volume by roughly 70% and saves $3,000–5,000/month in operational cost at a typical practice, while pushing 25–35% more bookings into evenings and weekends — genuine net-new revenue, not just efficiency. Practices lose an average of 23% of potential revenue to poor patient engagement and communication breakdowns; automated follow-up alone cuts no-shows by roughly 30%. See the full cost breakdown by agent type or estimate payback against your own call volume.
How this actually runs
Every run above — including each follow-up choice — is a real JSON-RPC tools/call request to tunovix.com/mcp. Appointment times and cost estimates are generated fresh on the server each time; nothing here contacts a real Dentrix, Curve, or Epic account. What's real is the pattern: the request gets a real answer and a booked (or rescheduled) slot in one exchange, not a hold queue.
Have a product in mind? Let's scope it this week.
A 30-minute call gets you a rough timeline and cost — no obligation, no sales deck.