Front desk · Vouch
Reviews and Google profile
More reviews from real patients, and a Google profile that stays current.
The gap
Happy patients rarely leave reviews unprompted, and an out-of-date Google profile sends people elsewhere.
What it does
- Review requests sent after each visit, when patients are happiest.
- Google Business Profile kept accurate: hours, services, booking link.
- Checked against your college’s advertising rules. No incentives for reviews.
What we measure
New reviews per month
Profile actions (calls, bookings, directions)
We record your baseline before go-live and report projection against actual every month, in writing.
Bounded, not autonomous
A scope document, a runbook and a human review step for every system. Pause it any month.
Privacy pack included
Data map, processing agreement, caller notice and retention schedule, written for BC’s PIPA.
No training on your data
Patient conversations are never used to train AI models. Every vendor is listed on our subprocessors page.
Pairs well with
-
AnswerFlagshipAI voice receptionist
Every call answered, day, night and through the lunch rush, in your patients’ languages.
MeasuresCalls answered
-
AskAI website chat
Answers the patients who ask at 9 p.m., before they try the next clinic.
MeasuresQuestions answered out of hours
-
ReplySpeed-to-lead
Every web enquiry and missed call gets a real reply in minutes, not the next business day.
MeasuresMedian time to first reply
Start with a call.
Thirty minutes, free. We look at your numbers and tell you plainly whether KindLoops fits. Sometimes the honest answer is somebody else.