Chatbots and AI agents aren’t the same, and the difference matters in health care. Chatbots talk. They answer questions. But the patient is still scheduling the appointment, waiting for a callback and managing their own task list. That’s communicating without acting.
AI agents actually do things. They book the appointment, route the refill and resolve the problem. Given how quickly patients leave after a frustrating call, this isn’t a minor difference. It’s existential. An AI that only talks is just a polished phone tree. An AI agent that solves the problem keeps patients.
Implementation is the hard part
A common misconception is that all AI platforms are equal. They’re not. The technology itself has to work as a digital human. If it doesn’t, no amount of implementation fixes that. But if the underlying technology is solid, everything else comes down to implementation.
You can’t just flip a switch. The AI needs a real knowledge base. It has to connect to your scheduling system, your intake process, your referral pathways and whatever else your practice uses. Without those connections, it will politely answer questions while patients still can’t get anything done.
No two practices work the same way, and what works for one will fail for another if you take a template approach.
The difference is customization: understanding how your staff works, what your patients ask about and where the real friction points are. Then you test the AI against those specific scenarios before going live and refine it based on what you learn. That’s what separates a successful implementation from an expensive mistake.
The goal isn’t replacing staff. It’s removing enough administrative work that your team can focus on patients instead of managing a phone queue.
Two critical decisions
Success won’t come from simply adopting AI. It will come from two decisions you make at the start.
Decision 1: Am I choosing the right technology?
Be honest here. Not all platforms are built equal. The technology has to work as a digital human in your environment. Can it handle the scenarios your patients bring, such as new patient calls, reschedules, pre-op questions and post-procedure follow-ups? Can it complete tasks, or just acknowledge them? Will it connect to your scheduling system, your electronic health record and everything else you use?
This takes work beyond any vendor demo. Ask: Is it purpose-built for health care, or is it a generic chatbot with a health care skin? Does it handle HIPAA and compliance properly? Can you customize it to your practice’s specific workflows, or are you stuck with the vendor’s template? Without strong underlying technology, no implementation will save you. Get this wrong, and you’re sunk before you start.
Decision 2: Is the organization I’m working with the best fit for my practice?
This is where most practices fail. They pick decent technology, then pick the wrong partner. Implementation isn’t a light switch. It means understanding your workflows, customizing everything, testing against real patient situations and refining as you go. That requires expertise and real commitment.
Ask hard questions: Does the partner understand medical practices, or just technology? Will it customize for your specific scenarios, including your patient demographics, your common call reasons and how your team works, or push you into a template? Does it see the work as ongoing, or done after launch? Will it keep refining the system as you learn what works and what doesn’t?
The best partners don’t just turn the system on. They invest in understanding your practice, your patients and your staff. They adapt to your reality, not the other way around. That distinction separates practices that see real value from those disappointed by their investment.
Jock Putney is a health care entrepreneur, AI strategist, podcast host and author. As founder and CEO of