Healthcare contact center leaders are under more pressure than they have been in a decade. Call volumes continue to rise, while front-office and medical assistant roles remain among the hardest positions to recruit and retain, according to a 2025 MGMA Stat poll. Vendors are arriving with a compelling proposition: one AI agent to replace your IVR, field inbound calls, schedule appointments, answer billing questions, and update your EHR—all without adding headcount.
It’s an exciting vision. But “one agent that does everything” is not a deployment strategy, and the difference only becomes clear when you ask the right questions.
Over the past 15 years, I’ve worked with health systems modernizing patient access and contact center operations. I have never seen this level of urgency from healthcare leaders—or this much noise from vendors competing to solve the problem. That combination of real operational pressure and an accelerating AI market is exactly when a disciplined evaluation matters most.
My goal isn’t to convince you to buy one platform over another. It’s to help you ask better questions, because the answers will determine whether your AI deployment succeeds long after the demo is over.
Before your organization signs on to an agentic AI contact center platform, here are five questions worth asking.
1. What Does “Agentic” Mean in a HIPAA Environment?
The term “agentic AI” describes systems that do not just respond to inputs. They take actions. An agentic voice AI does not simply route a caller; it schedules an appointment, sends a confirmation, updates the patient record, and logs the interaction. That is genuinely powerful, but it also touches protected health information (PHI) at multiple points.
Before evaluating any solution, ask: Where is PHI processed? How is it stored? What audit trails are available? How is patient consent captured? Some platforms are built specifically for healthcare. Others are general-purpose AI with healthcare layered on top. That difference rarely shows up in a demo—but it will matter during implementation and compliance reviews.
2. How Deep Is the EHR Integration Really?
Agentic AI that cannot write back to your EHR is not truly agentic. Many vendors promise deep, bidirectional integration across major EHR platforms. That integration is often the hardest part of any deployment.
Ask specifically: Which EHRs are supported? Is scheduling bidirectional? What certifications exist for your environment?
3. Is This a Product You Configure or a Service Someone Manages?
This is one of the most important questions you can ask. There is a meaningful difference between purchasing software and partnering with a team that manages and continually optimizes your automation.
For lean IT teams and complex healthcare environments, that distinction often determines whether a deployment succeeds or struggles. Before committing to any platform, ask who owns ongoing performance—and get the answer in writing.
4. What Happens When the AI Cannot Resolve the Call?
No AI handles every call. The real test is the escalation path.
Patients should never have to repeat themselves because the AI couldn’t complete the task. Effective platforms pass the caller’s intent, conversation history, and actions already taken directly to the live agent. Ask vendors to demonstrate that workflow—not just the successful call.
5. What Does Implementation Actually Look Like and Who Has Done It?
A demo is designed to show everything going right. Your contact center won’t always cooperate.
Ask for a detailed implementation plan, clear ownership responsibilities, and references from organizations similar to yours. The vendors worth serious consideration can explain exactly how they move from demonstration to production.
The Stakes Are High Enough to Evaluate Carefully
Agentic AI for healthcare contact centers is real, and the benefits are significant when implemented thoughtfully. These five questions are not intended to slow your evaluation—they’re intended to help you make better decisions that stand up long after the demo is over.
See how the team at Parlance approaches contact center AI for health systems: Reach out here.
Amy Murphy is Strategic Account Director at Parlance, where she has spent more than 15 years helping health systems modernize patient access and contact center operations. Over the past 30 years, Parlance has partnered with more than 400 healthcare organizations and connected more than 2 billion healthcare calls, helping providers improve service levels while creating efficiencies across their organizations. Amy works with healthcare leaders to design and implement conversational AI solutions that improve patient access while reducing operational burden on clinical and administrative staff.