The Science of Agentic AI: From Language to Action
- Dr. Nate Jeal
- Nov 18
- 3 min read
Updated: Nov 20
In dentistry, the real communication breakdown rarely happens in the operatory. It happens in the moments between conversation and commitment.
A missed call.
A delayed response.
A forgotten follow-up.
Each one represents a patient lost between intent and action; someone who wanted help but never made it to the chair.
That’s where the opportunity lies.
In recent years, “AI in healthcare” has referred to tools that support radiographic diagnosis. Years earlier it referred to scripted chatbots pretending to hold a conversation. None of it fixed the communication gap that actually matters.
But now we’re seeing something new: Agentic AI. This refers to systems that understand language and use it to autonomously perform actions.
They listen for context, and then take action. Not because they were programmed to follow a script, but because they understand the intent behind the words.
Even then, most of the current options are “AI receptionists" and they stop at the surface. They can list office hours, maybe even confirm an appointment. But the conversation dies there.
They listen for context, and then take action. Not because they were programmed to follow a script, but because they understand the intent behind the words.
Even then, most of the current options are “AI receptionists" and they stop at the surface. They can list office hours, maybe even confirm an appointment. But the conversation dies there.
A patient conversion agent, by contrast, doesn’t stop when the talking ends. It maintains a goal for each conversation and purposefully finishes the job.
To be of value in a dental practice that means patients are attended to and appointments get booked.
This isn’t automation in the old sense. It’s communication that closes the loop; a continuous process where every patient interaction leads to action.
The Science Behind It
At the core of this evolution in practice communication is the large language model (LLM), trained on huge volumes of human conversation and writing. But that in itself isn’t enough to power a conversational agent; what makes an LLM agentic is what happens around it.
This orchestration layer around the LLM is the system that gives it memory, goals, and the ability to act by connecting directly with scheduling and practice management software.
That’s what turns a language model into an operator that perceives and completes tasks. Think of it as the difference between a dictionary and a living conversation. One defines words. The other drives outcomes.
In dental practice, this comes to life through Sally, an AI agent designed to handle inbound patient enquiries, a critical task that human teams can’t complete every time, nevermind 24 hours a day.
Sally answers the phone, responds to questions using a deep understanding of dental consumer behavior, listens for context and intent, and autonomously books appointments into practice management systems directly.
Every call is logged.
Every opportunity is captured.
For the dentist, that means more time to focus on the patient in the chair, and less energy lost to the one that never called back.
The innovation is all in how it happens. Since the advent of the personal computer we’ve been trained to navigate software through windows and keyboards and clicks. But that’s not how humans think or communicate.
Agentic AI replaces the digital interfaces we all know, with something that is actually far more natural: language itself.
When a patient says, “Can I come in next week for a cleaning?” Sally doesn’t just note the question. She interprets the request, creates the appointment, and confirms the details to the caller and to the dental team.
Language is the interface. Conversation is the command.
A New Direction For Dentistry
Agentic AI is not about replacing people. It’s about connecting intent with outcome using sophisticatedly simple tools that are more economical and consistent than humans alone.
Agentic AI tools like Sally convert everyday communication into completed tasks without requiring patients to go online and fill out forms.
AI is the new interface that replaces online appointment requests and eliminates missed calls.
In our own practices, we see what happens when language meets action.
New patients get appointments, not voicemail. Practice owners get assurance. And patient conversations become a catalyst for care.
This will soon be the standard. It’s not about being more automated, it’s about being more effective. And it starts with how we listen.
