Service-specific intake logic
Flows reflect your treatment categories, consult qualification criteria, and next-step rules.
If you are evaluating how much an AI receptionist costs for a med spa, plans start at $450/month and scale based on monthly inbound call volume and workflow complexity.
Every deployment is custom-built for each clinic’s services, booking flow, and intake structure.
Most clinics fall between $450–$900/month. Final pricing depends primarily on monthly inbound call volume and the workflow scope needed for your front desk operations.
Each AI receptionist is configured around your services, booking flow, and intake requirements.
Clinics run on calls. As call demand increases, your receptionist configuration requires more capacity to maintain fast, consistent coverage and reliable routing.
This keeps pricing aligned with real demand: smaller clinics avoid over-committing, while growing clinics can scale without rebuilding core workflows.
This is not a generic answering bot. Your implementation is tailored to how your clinic operates day to day.
Flows reflect your treatment categories, consult qualification criteria, and next-step rules.
Scheduling support is configured to your team availability and operational guardrails.
Escalations and handoffs mirror your front desk, coordinators, and providers.
Conversation language is tuned to your brand voice and patient experience standards.
You’re paying for coverage and structure — not staffing overhead.
Revenue impact comes from response speed and consistency. When high-intent calls are handled promptly and intake is structured, fewer opportunities slip through voicemail gaps or delayed follow-up.
As monthly call volume grows, even modest improvements in captured consult opportunities can compound. The exact impact varies by clinic, offer mix, and conversion process, so planning should stay conservative.
Run your numbers with your own assumptions for call volume, consult value, and conversion rate.
This side-by-side view highlights how clinics typically compare in-house staffing, traditional answering services, and MedspAI.
| Category | In-house receptionist | Traditional answering service | MedspAI |
|---|---|---|---|
| Coverage | Bound to staffing schedule | Usually message taking with limited depth | Configured frontline coverage for med spa call flows |
| Booking capability | Strong when fully staffed | Often escalates instead of handling booking logic | Booking support tailored to clinic rules |
| After-hours support | May require added shifts or delayed callbacks | Available with generic scripts | After-hours behavior configured to clinic policy |
| Scalability | Requires hiring and onboarding cycles | Depends on vendor staffing | Scales with monthly call volume |
| Consistency | Can vary by shift and turnover | Can vary by assigned operator | Consistent workflows and scripts |
| Cost structure | Staffing overhead and variability | Service fees with limited customization | Predictable pricing based on call volume |
Structured call flows mapped to your services and consult process.
Inbound calls managed with clear routing paths to the right team member.
Scheduling support aligned with your clinic’s booking rules.
Reliable handling paths to reduce missed opportunities.
Behavior configured for evenings, weekends, and overflow periods.
Visibility into call patterns and operational trends.
Need a clinic-specific quote? Book a demo.
Yes. Pricing can adjust as monthly inbound call volume changes so coverage remains aligned with demand.
Your plan scales with your clinic, including expanded volume capacity and workflow updates.
Commercial terms are reviewed during scoping so expectations are clear before activation.
Yes. Integration options are reviewed to align with your existing booking process.
Escalation paths route unresolved inquiries to your team according to predefined rules.
Yes. After-hours handling is configurable for your clinic’s preferred response policy.
Most clinics can launch quickly once workflows, call routing, and scripts are approved.
We map your inbound demand, workflow scope, and growth plan into a transparent recommendation.