Do nothing
No new process. The same blind spot.
No extra cost, but missed calls and slow replies continue without a record of the size of the gap.
How Alotime compares
Three ways clinics cover the gap today.
Most clinics are not comparing Alotime with another AI product. They are comparing it with what the practice already does when the phone rings and nobody is free to answer.
- Compare the mechanismWhat happens to the call, not which logo is on the slide.
- Keep the team in controlAutomation covers routine intake; people keep judgment.
- Use your own baselineNo borrowed benchmark is treated as your clinic result.
The choices
Four operating models, written plainly.
Generic chatbot
Fast to install. Not built around a clinic.
General support tools rarely begin with dental call flow, explicit clinical boundaries, and a visible handoff to the front desk.
Alotime
A dental-specific operating layer.
It begins with the moments the desk cannot cover, keeps a record of the request, and returns decisions to the clinic team.
Another employee
Real capacity. Fixed hours and cost.
A person adds judgment and care, but one hire does not automatically cover after-hours calls or every peak in demand.
What is actually different
The difference is the operating boundary.
Designed around front-desk operating flows, not general-purpose support.
Anything clinical, financial, urgent, or unusual belongs to the clinic team.
Calls, appointment requests, handoffs, and pending team work can be reviewed.
The useful comparison is your own call flow before and after a focused pilot.
Founder-led · built for dental clinics
Uygar Kaan Yılmaz
Founder, Alotime
@getautosmile
I build Alotime for the hours a dental practice cannot cover. If something in the system gets a patient conversation wrong, that is mine to fix — and you will always know who to call.
Get Alotime. Get more smiles.
Request a free clinic analysis
- 15-minute discovery
- Clinic-specific estimate
- No commitment required