AI for medical and dental practices

AI for Medical and dental practices

Your front desk cannot answer three lines and the patient standing at the counter at the same time, and the patient at the counter has to win.

The problem, specifically

Practice phones carry a predictable, relentless load: appointment requests, reschedules, insurance questions, prescription queries, and the same five policy questions. Almost none of it needs clinical judgement and all of it needs answering.

The constraint that makes this different from every other trade is that most of the conversation touches protected health information, which rules out the casual AI tools other businesses can adopt without thinking about it.

So practices end up in the worst position: the highest volume of automatable calls, and the strongest reason not to use a public AI tool to handle them.

What we deploy

Voice AI

Scheduling, rescheduling, hours, location, what to bring, and what the practice does and does not treat — answered immediately, on every line, with anything clinical routed to staff rather than answered.

Private AI

The reason this works for a practice at all. Patient information stays inside your environment, with access control mapped to roles, audit logging on every retrieval, and retention rules you set.

Felican IDP

Reads intake forms, referrals and insurance paperwork into structured data instead of someone retyping it.

What makes this different in your trade

The clinical boundary is absolute

The assistant does not give clinical advice, interpret symptoms, or discuss results. It schedules, it informs on logistics and policy, and it routes everything else to a person. This is a hard rule, not a tuning preference.

Private deployment is the default here, not an upgrade

For most trades private AI is a preference. For a practice handling protected information it is the starting requirement, which is why these deployments are built on Private AI from the outset.

Compliance obligations are stated plainly, not implied

Self-hosting removes third-party processing, which is the hardest part. It does not make a practice compliant by itself — you still need the risk assessment, the access controls, the audit trail and the documented policy. We build the technical controls and we tell you exactly which obligations remain yours.

No-shows get reduced by the boring mechanism

Reminder and confirmation calls that actually happen, every time, without adding to anyone's list.

Questions people actually ask

Before you call

Is this HIPAA compliant?

A deployment is not compliant or non-compliant on its own; a practice is. Self-hosting removes the largest exposure by keeping protected information out of third-party systems, and we implement access control, audit logging and retention as standard. The risk assessment, policy and workforce training remain your obligations, and we would rather say that clearly than let a deployment imply more than it delivers.

Will patients be told they are speaking to an AI?

Yes. It identifies itself, and anyone who wants a person gets one.

Can it access our practice management system?

For scheduling, where the system supports it, scoped to exactly what it needs. Broad access to a clinical record system is not something we would build.

Talk to someone who knows medical & dental

A short call, and an honest answer about whether this is worth doing for your business.

Certified across the platforms we build on

AWSGoogle CloudMicrosoft AzureAnthropicOpenAI