BIS Voice - AI Virtual Assistant Case Study
Case Study

BIS Voice
AI Virtual Assistant for Inbound Patient Engagement

Transforming Healthcare Front-Desk Operations Through Conversational AI — BIS Voice acts as a 24×7 virtual front-desk assistant, handling inbound patient calls, scheduling, and appointment support. Data through August 25, 2026.

BIS Voice AI 24×7 Inbound Support Appointment Scheduling SMS & CRM Notifications Department Transfer

The Challenge

🕒

Limited Front-Desk Hours

Front desk and clinic teams could only support patients during limited business hours, leaving after-hours callers without a way to reach anyone.

Waiting for a Representative

Patients calling about appointments, scheduling, or clinic information often had to wait for a representative to become available.

📞

High Call Volume, Fixed Capacity

As inbound call volume grew, staff capacity remained fixed, straining teams responsible for scheduling, answering questions, and transferring patients.

🔁

Repeat Calls & Manual Transfers

Patients often needed to call back when the front desk was closed, or required a transfer to a dedicated clinic department for additional assistance.

The BIS Voice Solution

🤖

Intelligent Call Handling

Handles inbound patient calls 24×7, provides clinic and provider information, answers common patient questions, and assists with appointment-related requests.

📅

Increased Patient Scheduling

Schedules and reschedules appointments for new and existing patients, collects required information during the call, and supports scheduling after hours.

🔎

Existing Appointment Details

An updated API lookup tool retrieves existing appointment information, expanding the assistant's scope from scheduling to broader appointment support.

✉️

Patient SMS & CRM Notification

Sends an SMS confirmation to the patient after an appointment is scheduled, plus an email notification to the CRM queue for processing.

🤝

Transfer to Dedicated Clinic Departments

Routes patients to the correct clinic department when additional assistance is needed, letting the assistant handle routine requests while human teams manage exceptions.

Key Results at a Glance

50,095
Inbound Calls Handled

46,020 during business hours + 4,075 after hours, through August 25

2,829
Appointments Scheduled

2,592 during business hours + 237 after hours

4,075
After-Hours Calls

Calls handled outside traditional front-desk hours

237
After-Hours Appointments

Appointments scheduled outside business hours

66,592
AI Call Minutes

Total AI/Bland call minutes logged through August 25

Measurable Business Impact

📈

Increased Patient Reach

50,095 inbound calls handled through August 25, giving patients an always-on channel during business hours and after hours.

📅

Increased Appointment Scheduling

2,829 appointments scheduled through August 25, supporting new-patient, existing-patient, and rescheduling workflows.

🔎

Expanded Appointment Support

Existing appointment details are now retrievable through the updated API lookup, reducing patients' need for a front-desk representative.

✉️

Automated Patient Communication

SMS sent to patients after scheduling, plus an email to the CRM queue, reducing the need for manual follow-up after the call.

🌙

After-Hours Availability

4,075 calls and 237 appointments handled after hours, extending scheduling support beyond traditional front-desk operating hours.

Why This Model Works

"AI5 is now operating as a stable 24×7 inbound virtual front desk."

🔁

Consistency

Patients receive the same automated support across every call, with no gaps between interactions.

🌙

Availability

The assistant is available during business hours and after hours, extending support beyond a fixed front-desk schedule.

⚙️

Automation

Routine appointment and information requests are handled by AI, freeing human teams for exceptions.

🔗

Integration

APIs support existing appointment information and connect the assistant to downstream scheduling workflows.

✉️

Communication

SMS and CRM notifications continue the workflow after scheduling, keeping patients and staff informed.

Quality

Every update passes through QC testing and validation before reaching production use.

Strategic Outcome

From front-desk dependency, limited operating hours, manual appointment handling, and patient wait times — into a proactive, intelligent, always-on patient engagement and appointment-scheduling solution.

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