Typical staffing in healthcare contact centers rarely meets the necessary coverage during peak times. Such understaffing often leads to burnout, which is the primary reason 87 percent of workers report high or very high stress levels at their contact centers.
Contact center understaffing also results in lengthier hold times for patients and is a missed opportunity to engage patients, ensure continuity of care and boost revenue. Forty-four percent of customers get annoyed, irritated or angry when on hold for five to 15 minutes, and 85 percent of people whose calls go unanswered will not call back.
There’s also the issue of call overflow in healthcare contact centers, whether due to a high call volume, limited phone lines, or a lack of agents available outside normal operating hours. No matter the reason, consistently missing calls because of call overflow results in many negative outcomes, including lower first call resolution (FCR) and a diminished practice reputation.
The Hidden Costs of Understaffing and Call Overflow in Healthcare
Mitigating or even eliminating these issues is the reason so many healthcare contact centers are adopting agentic artificial intelligence (AI). This technology is designed to:
- Handle high volumes of routine patient inquiries, many without live agent involvement
- Provide 24/7 omnichannel support
- Route patient calls intelligently to the right agent or department
- Support live agents with real-time guidance and relevant data
- Pull real-time patient data from EHRs, practice management and other systems to give accurate and contextual answers
- Complete multi-step workflows from start to finish
- Simultaneously handle thousands of conversations without losing quality or speed
By employing Agentic AI, healthcare contact centers can automate routine call types, such as appointment scheduling, prescription refills and billing inquiries, reducing the need for full-time staff while improving service quality and availability. The AI technology virtually eliminates missed calls, one of the biggest drivers of lost revenue and delayed care.
Every unanswered call increases the risk of missed appointments, which cost the U.S. healthcare system more than $150 billion annually. For individual physicians, that translates to an average of $200 lost for every unused appointment slot.
According to a recent Deloitte Center for Health Solutions survey of healthcare technology executives in the United States, 61 percent of respondents say they are already building and implementing agentic AI initiatives or have secured budgets to do so. Eighty percent of these executives expect agentic AI to deliver moderate-to-significant value across clinical, business and back-office functions in 2026.
Live Agents vs. a Hybrid AI Approach: A Real-World Cost Comparison
Applying agentic AI to a specific use case gives a clearer view into its advantages for healthcare call centers. Although simplified, the primary workflow occurs as follows:
- Inbound call from patient → AI answers, authenticates and identifies intent.
- AI autonomously handles routine requests (scheduling, billing, refill requests).
- AI escalates complex calls to live agents.
- AI logs interaction, updates records and learns from outcomes.
Let’s say a 25-agent call center handles approximately 65 conversations per shift. That’s a total of about 1,625 conversations per day and 17,160 annually at 264 workdays per year. If the average fully-loaded cost per full-time agent is $54,985 annually, that equals approximately $2.81 per conversation.
Even if you only adopt a conservative approach and utilize agentic AI to manage 35 percent of your contact center’s conversations, it translates to 23 conversations per day and 6,006 annually. Multiply that times the average estimated operational cost of $1.10–$1.29 per conversation through AI.
Here’s the cost comparison:
- Live agent-handled conversations: 6,006 × $2.81 = $421,359 annual cost
- AI-handled conversations: 6,006 × $1.10–$1.29 = $154,955–$ 237,771 annual costs
- Net savings range = $154–$238K annually
In addition to those hefty savings, you’re reducing your staffing burden, and patients still receive faster responses and fewer delays in care, positioning the call center as a digital front door for value-based care. Live agents are freed up for complex, sensitive or high-value interactions, such as nurse triage, patient engagement or chronic condition outreach.
It’s an approach that not only reduces costs but also scales service availability without additional headcount. You achieve 24/7 coverage without overtime costs, increased staff retention and improved patient satisfaction and access scores (i.e., CAHPS, HEDIS).
Also, unlike live agents, AI doesn’t require complex and often lengthy onboarding. AI agents are trained on structured and unstructured organizational content, including workflow documentation, call scripts and training manuals, and dynamic updating continuously refreshes its knowledge base to reflect real-time changes in your policies, schedules and provider availability. Other features of agentic AI for healthcare contact centers include:
- Automated Web Scraping: Extracts and updates practice information (i.e., office hours, locations, provider bios) directly from the organization’s website
- Contextual Understanding: Aligns responses with established workflows and protocols to replicate live agent decision pathways
- Consistency Engine: Ensures standardized messaging and eliminates variability common in human agent interactions
Providertech.ai: The Smart Way to Scale Your Healthcare Contact Center
With our agentic AI solution supplementing your team, your staff fields fewer repetitive patient requests, allowing them to focus on more complex calls. The capabilities of Providertech.ai consist of 24/7 inbound call handling, appointment scheduling and rescheduling, appointment reminders, medication refill requests and more. Schedule a demo with us, or listen to a sample recording to learn more!
