AI Virtual Assistant - BIS Case Study
Case Study

AI Virtual Assistant
with AI Automation

Transforming Healthcare Through Virtual Assistants — Business Integrity Services (BIS) implemented BIS Voice, an AI-powered Virtual Assistant creating a structured, scalable and interactive patient engagement system.

BIS Voice AI Virtual Assistant Call Handling Warm Transfer

The Challenge

Long Hold Times

Patients calling with questions about appointments, scheduling, or clinic information were routed to a queue where wait times often exceeded 10 minutes, with average waits reaching 57 minutes.

📵

Unassisted Patients

With limited staff capacity, many patient calls were lost entirely due to wait times, leaving patients frustrated and with a negative impression of the healthcare organization.

📼

Voicemail Overload

High voicemail rates, accounting for 40–60% of outbound calls, led to accumulating messages and inconsistent, delayed follow-ups.

☎️

Dropped Transfers

60% of transferred calls reached a clinic where no one picked up, driving high call volume and pushing patients away from the organization due to a lack of available resources.

The BIS Voice Solution

🤖

Intelligent Call Handling

BIS Voice handles 100% of call scenarios without fatigue, scheduling appointments, answering FAQs, and providing clinic and provider information around the clock.

📵

Zero Missed Calls

Every incoming call is answered and handled, ensuring no patient is left waiting in a queue or routed to voicemail.

📅

Increased Patient Scheduling

An increase in patients scheduled, with all required patient information collected upfront — eliminating the need to call patients back for missing details.

🔁

Consistent Engagement Over Time

Patient response improves over time through consistent, reliable engagement, building trust in the organization's communication.

🤝

Transfer to Live Agent

15–30% of connected calls are transferred once BIS Voice confirms it cannot fully assist the patient, reducing agent time on non-productive calls by 40–60% and improving efficiency during live interactions.

Measurable Business Impact

Outreach Capacity

3–5× increase in daily patient outreach capacity

50%
Agent Productivity

35–50% improvement in agent productivity

100%
Patient Reach

Coverage increased from 25–30% to 90–100%, with no missed calls to the main line

50%
Productive Talk Time

30–50% increase in productive talk time per agent

40%
Cost Reduction

25–40% reduction in cost per collected dollar

Business Impact

📈

Increased Patient Reach

Coverage grew from 25–30% up to 90–100%, with no missed calls to the main line, ensuring every patient gets a response.

👥

Improved Agent Productivity

Agents now focus only on high-value conversations, with productive talk time increased by 30–50% and calls per agent increased 2–3×.

⏱️

Reduced Idle Time

Agent idle time reduced from 20% down to under 10%, as BIS Voice absorbs routine and repetitive call volume.

💡

Cost Optimization

25–40% reduction in cost per collected dollar, with reduced need for additional hiring despite increased call volumes.

📊

Higher ROI Per Agent Hour

With low-value calls absorbed by BIS Voice, every agent hour is directed toward complex, high-value patient interactions.

Why This Model Works

"Touch every patient consistently and intelligently."

🔁

Consistency

100% follow-up adherence vs. manual gaps, ensuring every patient interaction is handled the same way, every time.

Speed

Immediate and repeated engagement means patients are never left waiting in a queue for answers.

🎯

Precision

Only complex calls are transferred to a live agent, keeping human attention focused where it matters most.

🔄

Persistence

BIS Voice never drops a call, and always tries to answer to the best of its ability before escalating.

📊

Data-Driven Optimization

Continuous improvement in contact strategy, driven by ongoing analysis of call outcomes and patient responses.

Strategic Outcome

From long wait times, inconsistent answers, and inefficient scheduling — into a proactive, intelligent, always-on scheduling experience.

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