AI patient access, built to fill the schedule.
Monday at 9am your front desk has eleven people in the lobby and fourteen in the phone queue. ScaileAI answers every one of those calls instantly. It books, reschedules, verifies eligibility and routes the clinical ones to your staff.
All personal information has been removed from the call and the transcript.
—
ScaileAI runs managed AI patient access for provider organizations. We answer, schedule, reschedule, verify insurance, recover no-shows and route clinical questions to your staff. Structured data is written straight into your EHR and practice management system.
AI first. Human when it matters.
Built by contact-center operators, not chatbot developers.
Live line
Call it the way your patients actually call.
A live ScaileAI scheduling agent on a sample practice. Book something, then call back and move it. Ask what your copay will be. Then ask whether your symptoms are serious, and watch where it stops.
Try this: book an appointment, then ask whether your chest pain is something to worry about.
Call evidence
Read any of these calls in full.
Every call above has its own page: the scenario, the objective, the outcome, the handling time, the whole unedited transcript, what the agent did, and what it wrote into the client system.
Patient leakage
The patient who can't get through
books somewhere else.
Access is the front door of the practice. When the queue is fourteen deep at 9am, the patient hangs up and calls the group across town. Your providers then sit with gaps in a schedule that was supposedly full.
Your access numbers
Use contribution value per visit: expected reimbursement net of the cost to deliver care, not gross charges. Gross charge figures make this model indefensible in front of a CFO.
Appointments being booked somewhere else
—
—
Net monthly impact, after what ScaileAI costs
—
—
—
This model deliberately counts only new appointments from calls that currently go unanswered. It leaves out no-show recovery, waitlist backfill and the front-desk hours returned to in-person patients. Those are real. We will not claim any of them before a pilot measures them.
Structured capture
Clean data at the front door.
Registration errors and missing insurance details are where denials come from. The agent captures the same fields, in the same order, and writes them into the chart before the patient arrives.
Patient identity
- Name, date of birth and contact
- Existing vs new patient match
- Preferred language
- Preferred provider and location
- Guardian or caregiver on the call
- Communication preferences
Insurance & eligibility
- Payer, plan and member ID
- Eligibility check on the call
- Copay and coverage for the visit type
- Referral or authorization required
- Secondary coverage
- Self-pay and financial policy
Visit & routing
- Reason for the visit in the patient's words
- New problem vs follow-up
- Urgency and symptom red flags
- Appointment type and duration needed
- Transport or accessibility needs
- Clinical escalation to staff
Safety & privacy
It never gives medical advice.
Two hard boundaries make this deployable in a clinical setting: the agent does not practice medicine, and protected health information is handled as PHI from the first second of the call.
It does not triage, diagnose or advise
The agent captures the reason for the visit in the patient's own words. It does not assess symptoms, suggest what a condition might be, or advise whether care is needed.
Emergencies escalate immediately
Red-flag language moves the caller to your emergency instruction and your on-call path at once, ahead of any scheduling logic. This path is tested exhaustively before launch.
Clinical questions route to clinical staff
Anything requiring judgement goes to a nurse line, the on-call clinician or your defined queue, with the context already captured.
PHI is handled as PHI throughout
Recordings, transcripts and structured data are treated as protected health information end to end, under a signed business associate agreement.
Minimum necessary by design
The agent asks for what the workflow requires and no more, and sensitive segments are suppressed from recordings where your policy requires it.
Your organization approves the voice
Scripts, escalation triggers, disclosures and routing are signed off by your clinical and compliance leads during QA before a patient hears any of it.
Integrations
It writes into the chart, not into a spreadsheet.
Appointments, registration data, eligibility results and call documentation land in the systems your staff already work in.
Common questions
What practice administrators ask us.
What is AI patient access?
AI patient access is an AI voice agent that answers a provider organization's inbound patient calls 24/7 without adding front-desk headcount. It schedules, reschedules, verifies insurance eligibility, answers practice questions and routes clinical matters to staff.
ScaileAI delivers it as a managed service, including EHR integration, escalation design, QA sign-off with your clinical leads, and continuous optimization after go-live.
Will it give medical advice or triage patients?
No. The agent captures the reason for the visit in the patient's own words and never assesses symptoms, suggests a diagnosis or advises whether care is needed. Red-flag language escalates immediately to your emergency instruction and on-call path.
Anything requiring clinical judgement routes to a nurse line or clinician with the context already captured.
Is it HIPAA compliant?
ScaileAI operates under a signed business associate agreement and treats recordings, transcripts and structured data as protected health information end to end, with minimum-necessary capture and suppression of sensitive segments where your policy requires it.
Compliance is a property of the deployment rather than a badge, so the specific controls, retention terms and BAA scope are agreed with your compliance officer before launch.
Can it verify insurance eligibility on the call?
Yes. The agent captures payer, plan and member ID, runs an eligibility check during the conversation, and tells the patient their expected copay for that visit type before they hang up.
Verifying coverage before the visit prevents denials rather than appealing them afterwards, which is usually the largest hidden return in a patient access deployment.
Does it replace our front desk?
No. Most organizations start with ScaileAI on overflow, after-hours and the highest-volume repetitive call types, so front-desk staff keep the conversations they already handle.
The practical effect is that staff spend their time with patients in the lobby instead of with a phone queue.
How long does it take to go live?
A single call type typically goes live in weeks, moving through discovery, conversation architecture, knowledge engineering, EHR integration, simulation, clinical and compliance QA, then controlled deployment.
EHR integration complexity is almost always the critical path.
Fourteen patients are on hold right now.
One of them is about to call somewhere else.
Give us one call type. After-hours scheduling or reschedules are the usual starting point. We measure your abandonment rate first, so the result is arithmetic rather than opinion.