Beyond answering the phone: Where AI agents can make a difference in dental practices
For most dental practices, the phone remains one of the most important points of contact with patients. It is also one of the biggest demands on the front-of-house team.
This is one area where AI Agents are beginning to have a practical role in dentistry.
Rather than asking patients to navigate a traditional phone menu or leave a voicemail, an AI assistant can have a conversation with the caller. It can answer common questions, book or rearrange appointments and deal with straightforward requests without requiring a member of the team to become involved.
And importantly, it can do this 24/7.
Taking some of the pressure off reception
The purpose of AI Agents isn't to replace the relationship patients have with the practice team.
There will always be conversations that need a person, particularly when a patient is anxious, a situation is unusual or clinical judgement is required. But as a significant proportion of calls tend to be routine, an AI Agent can handle these, while reception teams have more time for the patients and situations where their experience and judgement make a difference. And it doesn't have to be a choice between AI and people.
Agentic AI platforms, such as Intelinteract allow practices to decide how and when AI Agents become involved.
For instance, a practice might let its reception team answer calls first, with an AI Agent acting as overflow if nobody is available after, say, 20 seconds. Alternatively, the AI Agent can answer first, replacing the traditional "Press 1, Press 2" IVR experience. It can understand what the patient needs, deal with straightforward requests or route the call to the appropriate person or department.
The AI agents can also be configured for specific times such as after hours, weekends or the busiest periods of the working week.
This means practices can introduce AI where it is useful without having to redesign the way their teams work around it. AI Agents can also be configured in multiple languages or regional dialects, making the practice more accessible to a wider range of patients.
The same technology can support outbound communication, including appointment reminders, recalls and follow-ups, taking another set of repetitive tasks off the team's list.
The more interesting part is what happens to the information
Even though answering calls is definitely useful, the real game-changer is connecting those conversations with information already held within the practice management system.
Practices have considerable information about patient demand and potential revenue, but it isn't always easy to see the bigger picture.
How many new-patient enquiries didn't result in an appointment? How many patients discussed treatment but didn't proceed? Which recalls remain outstanding? And what is the potential revenue associated with those opportunities?
An AI Agent connected to the practice's systems can help identify these patterns. Rather than simply reporting that ten patients haven't followed up, for example, the practice could see the potential value associated with those treatments. This turns an operational list into something more useful — a quantified view of potential revenue opportunities within the practice, giving teams something specific to act on.
Seeing what is happening on the phones
There is another valuable source of information that practices don't always have easy access to, which is the calls themselves.
Platforms such as Intelinteract can make it easier for practice managers to monitor call queues, see how calls are being handled and understand what happens during particularly busy periods. Call transcripts provide a record of conversations, while analysis across calls can highlight recurring questions, reasons for calling and areas where patients may be experiencing difficulties.
This can also give managers greater visibility into call handling across the team, helping identify where additional training or changes to processes may be useful.
The point isn't to create more data, but to make information already contained in hundreds of everyday conversations easier to understand and act upon.
Understanding why patients don't convert
Numbers only tell part of the story.
There may be good reasons why a patient didn't book or proceed with treatment. Price may have been a factor. They may not have fully understood the treatment, the timing may have been wrong, or the overall experience may not have met their expectations.
AI Agents can also make outbound calls to gather feedback following appointments, consultations or treatments.
These conversations can give practices a broader view of patient experience than relying solely on the relatively small number of people who complete surveys.
Over time, feedback can highlight recurring themes and throw light on what patients value, where frustrations occur and where changes to communication, processes or services could improve the experience.
Where AI can make a real difference
There is understandably a lot of discussion about what AI might eventually mean for dentistry. But some of its most valuable applications may be much more practical.
Answer the phone when the team can't. Let patients book at a time that suits them. Send reminders and follow up where appropriate. Route patients to the right person. Identify opportunities that might otherwise be missed. And give practice teams a clearer picture of what is happening across their patient conversations and systems.
The important point is that adopting AI doesn't have to mean changing everything at once.
Every dental practice operates differently, and AI Agents can be introduced where they add the most value, whether that is providing out-of-hours cover, supporting reception during busy periods, managing routine outbound calls or helping teams make better use of the information they already have.
That is the approach we have taken at Core Cognitics with Intelinteract. The platform is designed to work alongside practice teams, connecting conversations, workflows and practice data while giving each practice control over where and how AI Agents are used.
Ultimately, the difference it brings is not merely automating more tasks, but reducing pressure on teams, making it easier for patients to engage with their practice and turning everyday conversations and practice data into information that can help practices make better decisions and drive more revenue.