Configurable practice knowledge
Organize approved hours, locations, preparation instructions, routing rules, and administrative answers around the practice.
Product
A patient-access layer built around the call—not around a generic bot.
Aurantis AI is designed to identify administrative intent, follow a practice-approved workflow, interact with confirmed systems, and move the caller toward a clear next step.
Caller
Aurantis AI
Intent + workflow
Approved info / action
Human transfer
Outcome summary
The exact path depends on the practice’s approved information, phone environment, integration access, operating hours, and transfer destinations. Real-time write access is never assumed.
Operating model
One workflow at a time, with the boundary written down.
The system is useful when the practice can describe what should happen, what should not happen, and what staff need to see afterward.
Scheduling and administrative actions
Define whether each workflow gathers information, reads availability, writes to a system, or hands the request to staff.
Call summaries and outcome visibility
Structure a concise administrative outcome so teams can see what happened and what still needs attention.
Multi-location routing
Model location-specific hours, services, providers, phone paths, and escalation destinations without treating every office as identical.
Configurable practice knowledge
Approved hours, locations, parking, insurance information, preparation instructions, and routing policies can be organized as governed practice knowledge.
Content ownership stays visible: the practice determines what is appropriate to tell callers, who reviews changes, and when a question should move to staff.
Human handoff
A transfer path is part of the workflow design.
Caller requests, uncertainty, sensitivity, urgency, system failures, and practice rules can each require a different staff destination or capture path.
Caller begins
Intent and approved workflow
Transfer rule or caller request
Practice staff
Outcome visibility
A concise administrative summary should distinguish what the caller requested, what workflow was followed, what action completed, and what remains for staff.
Clinical interpretation does not belong in an automated administrative summary.
Implementation
Discover, design, test, then operate.
- 01
Discover
Map the phone environment, systems, policies, and priority call intents.
- 02
Design
Translate one workflow at a time into approved information, actions, and handoffs.
- 03
Test
Use synthetic calls, edge cases, staff review, and fallback procedures before launch.
- 04
Operate
Review outcomes, adjust approved content, and expand only after the workflow is ready.
Integration architecture
Access is specific to the system and the action.
Read-only availability, write access, staff-assisted action, and fallback behavior are documented separately for each workflow.
EHR and practice management
Scheduling
Telephony
SMS
CRM
Analytics
Secure workflow automation
Integration scope is confirmed during implementation based on your scheduling, phone, and practice-management environment.
No third-party integration is currently displayed as live. Each future registry entry requires dated evidence, an access-scope description, visibility approval, and any necessary logo permission.
Safety boundaries
Administrative automation does not become clinical judgment.
Does not diagnose medical conditions
Does not prescribe or approve medication
Does not replace a dermatologist
Does not provide independent clinical advice
Uses clinic-approved information
Escalates outside-scope and uncertain requests
Product FAQ
Questions to resolve before implementation.
Can it schedule appointments?
Scheduling can be part of a configured workflow when the practice rules and connected system support the required access. Availability, write access, and fallback behavior are confirmed during implementation.
Can callers reach a staff member?
Human transfer is a core workflow consideration. Practices define when a caller request, sensitive situation, uncertainty, or operating rule should route to staff.
Does the AI provide medical advice?
No. Aurantis is designed for administrative patient-access workflows. It does not diagnose, prescribe, replace a dermatologist, or provide independent clinical advice.
Can it handle cosmetic consultation inquiries?
A practice can configure an approved administrative path for service interest, location preference, consultation requests, and staff follow-up. The system should not assess clinical suitability.
Can it collect prescription refill requests?
A configured workflow may collect an administrative refill request and route it for staff or clinician review. Aurantis does not approve or prescribe medication.
Does it work with our existing systems?
Integration scope is confirmed during implementation based on the practice-management, scheduling, phone, and workflow environment. Read-only and read/write access are evaluated separately.
How is the AI trained for our practice?
Implementation organizes clinic-approved information, policies, workflow steps, escalation rules, and test cases. The practice reviews what callers can be told and what the system should do next.
How long does implementation take?
The timeline depends on workflow scope, system access, approvals, testing, and vendor coordination. Aurantis does not publish a fixed timeline before those inputs are understood.
Can it support multiple locations?
Multi-location workflows can model office-specific information and routing. The exact scope depends on how locations, providers, schedules, and phone systems are organized.
Can it handle after-hours calls?
After-hours handling can be configured around approved responses, request capture, transfer availability, and escalation rules. Urgent or clinical instructions must follow practice-approved procedures.
A focused working session
See how Aurantis AI would work inside your practice.
We will map one real call workflow, show the patient experience, and discuss the systems your team uses today.
Book a private demo
No patient information is needed for the demo.