🦷 AI receptionist for dental practices
An AI assistant handles agreed administrative requests out of hours and prepares follow-up for the team, subject to validated software access and clinic rules.
In short: EBROTECH assesses how an AI agent could support the software your dental practice already uses. We first verify the product, version, plan, permissions and clinic rules. The assistant can handle approved administrative questions and prepare follow-up; it does not diagnose, assess pain or decide treatment priority.
A dental practice can define administrative rules for recalls and quote follow-up. The system identifies records that meet those rules and prepares the next action for review. It does not infer satisfaction, clinical need or treatment priority, and review invitations use the same criteria for every eligible patient.
A public booking widget can collect a request. A connected assistant may use only the fields authorised and tested by the practice, for example appointment status or the administrative category of an approved follow-up. It identifies itself, records the minimum details and routes any clinical wording to the practice's safety channel; it does not assess pain, urgency or treatment priority.
The connection route depends on the product, version, plan and supplier contract. We verify official documentation or an authorised export, limit the fields and test read, write, errors and rollback. We do not assume direct access, real-time sync or that the current system can always be retained.
A £5,000 implant or full ortho plan is not chased the same way as a hygiene appointment. The follow-up sequence for high-value estimates is less salesy and more reassuring: it reinforces trust, offers a second consultation, mentions finance options, and gives the patient room to decide. The tone is set by you; the AI just makes sure no plan is silently forgotten. The setup is validated in discovery and measured against an agreed baseline.
Coding tools can help build and test connectors, but they do not guarantee cost, timing or compatibility. A language model can prepare administrative drafts inside the approved scope; a person reviews and sends emails. Clinical decisions and any conversation outside the administrative script remain with the practice.
The business case is measured from the practice's own baseline: eligible recalls, delivered follow-ups, accepted requests, errors and staff time. Attribution rules are agreed before the pilot, and no booking, treatment acceptance or payback period is promised.
24/7
coverage configured for the agreed line and channels
Your software
stays the source of truth, with no forced migration
Measurement
goal and baseline defined before work starts
Control
human handoff and limits agreed for each task
Scope, baseline and metrics are agreed for each project.
Agreed baseline and target
Each patient is tagged by active treatment. The system knows patient X is in month 8 of orthodontics and sends the correct month-9 message, not a generic one. The setup is validated in discovery and measured against an agreed baseline.
Agreed baseline and target
Open estimates over £1,000 enter a reassuring follow-up sequence: trust, second opinion, finance. The setup is validated in discovery and measured against an agreed baseline.
Agreed baseline and target
Outside opening hours, the assistant identifies itself, answers approved administrative questions and prepares an appointment request. It does not assess pain or priority; clinical wording triggers the practice's approved safety instructions and human route.
Agreed baseline and target
After the eligible event, every patient covered by the same rule can receive an honest review invitation. Private feedback remains an additional channel and does not block or divert a public review.
Agreed response baseline and target
New enquiries from approved channels can receive an identified administrative reply or be passed to reception with context. Booking is enabled only where the clinic rules and tested connection allow it; response time and errors are measured against an agreed baseline.
Agreed baseline and target
A 24-hour reminder with confirm and reschedule buttons cuts no-shows and removes the manual confirmation calls that eat reception time. The setup is validated in discovery and measured against an agreed baseline and goal.
| Tier | Hours saved / month | Revenue impact |
|---|---|---|
| Tier 1 Bridge | Agreed baseline and target | Agreed baseline and target |
| Tier 2 Augment | Agreed baseline and target | Agreed baseline and target |
| Tier 3 Migrate | Agreed baseline and target | Agreed baseline and target |
Connection validation
We check the connection, permissions and scope before deciding whether a layer is enough or any migration is needed.
Your software
EBROTECH AI
Goals
Scope is agreed after validating your system.
Tell us about your caseIt depends on the product, version, plan and permissions. We verify the official route and test authorised fields before confirming read or write access. If there is no safe and supported connection, the diagnosis records the limit and may compare a controlled export with migration.
Every patient is tagged by active treatment. The AI knows patient X is in month 8 of orthodontics and sends the correct month-9 message, not a generic reminder. Hygiene, implants and ortho each run on their own track.
It is configurable. Most practices prefer the agent to hold a blocked slot that reception confirms by phone, especially for new patients. More agile practices switch on direct booking. You decide how much autonomy it has.
Yes. Dental records are special-category health data under GDPR. That is why we host on Hetzner in Helsinki (BSI C5 Type 2 and ISO 27001:2022) inside the EU rather than on generic hosting, and we sign a Data Processing Agreement with the relevant special-category clauses. This covers UK GDPR and EU GDPR.
Review invitations use the same criteria for every eligible customer; private feedback and issue handling run separately.
It complements it, it does not replace it. We keep your website and booking system. The AI layer handles what your current setup does not: multi-treatment recall, estimate follow-up, reviews and out-of-hours voice AI.
Tier 1 Bridge: ~7 days. Tier 2 Augment: ~14 days. Tier 3 Migrate: 3-4 weeks with full data migration.
It identifies itself as a virtual assistant, records administrative details and prepares or holds a request only where the integration and rules allow it. It does not assess dental pain or promise that every enquiry will be captured; clinical matters follow the practice's safety route.
That depends on product, version, plan, permissions and a supported connection. We prefer to keep the current system when a safe route exists; otherwise the diagnosis documents the limit and compares a controlled export with a possible migration.
Start with the form. We review what is holding you back and, if it makes sense, arrange a short call afterwards to define what we would build.
EBROTECH AI
Tell me your software — I'll tell you what we automate.
