Case study · Family Medicine
Blaeberry Family Practice
8:00am Monday, the whole town dials at once, and the callers who can't get through default to the walk-in or the ER. Here's the exact stack we'd build — and the sample artifact it produces.
Golden · Winter · Illustrative composite — the numbers are typical-pattern estimates, not measured results.
Illustrative scenario. Blaeberry Family Practice is a fictional composite of typical family-practice and medical-clinic operations in the Golden area — not a client account. The numbers are estimates from typical patterns; your audit produces real ones. Founding-client case studies will replace these as they complete.
The day this happens
8:00am Monday, and the whole town dials at once
At 8:00am on a Monday, the phone lines at Blaeberry Family Practice open, and the whole town seems to dial in the same minute. This is the family-practice squeeze made audible: more patients than there are doctors to go around, everyone who needs a same-day appointment calling the second the book opens, and two medical office assistants against a switchboard that lights up end to end. The ones who get through, get through. The rest get a busy tone.
And the storm is all mixed together. Threaded through the same-day-appointment callers are prescription-refill requests that could have gone to a pharmacy, someone starting to describe symptoms and hoping for advice, someone who just needs a form signed or records sent. Each one holds the line while the next acute caller redials. The patient who can't get through at 8:04 doesn't try again at 8:40 — they drive to the walk-in clinic across town, or, for something a same-day visit would have handled, they end up at the hospital.
None of this is the clinic's fault; there simply aren't enough family doctors for the demand. But the phone bottleneck makes a hard situation worse — every dropped call is a patient pushed to a costlier, wrong-fit setting, and a morning the assistants spend refereeing the switchboard instead of helping the people standing at the desk. The squeeze is real. The lost twenty minutes at eight o'clock don't have to be.
What we built
The second brain for this business.
A front-desk second brain that absorbs the 8am surge and sorts it — booking what it should, routing what it shouldn't, and putting hard safety rails ahead of everything else. It's the same shape as our AI for clinics build.
- AI Receptionist — answers the whole 8am storm at once so nobody hits a busy tone, books same-day and routine appointments against real availability, and routes every other caller by category: refills to the pharmacy-fax protocol, forms and records to a human callback, and anything clinical straight to a warm redirect. It never gives medical advice, and it always says it's an AI.
- Workflow Automation — runs the rails behind the voice — the pharmacy-fax refill routing, the same-day-slot release, the human-callback queue for admin requests, and the reminders and confirmations that keep booked slots from becoming no-shows.
The artifact
The artifact: twenty minutes of the 8am storm, sorted
The star of the study — the same standard as the AI Receptionist sample call, written out line by line.
— Queue summary · 8:20am —
• 11 calls answered in twenty minutes · 0 to voicemail · 0 busy tones
• 5 same-day / routine slots booked straight into the schedule
• 3 refill callers routed to the pharmacy-fax protocol — no clinical details collected
• 2 clinical callers redirected to 811/911 with an appointment offered — no advice given
• 1 records request queued for a human callback
• The two assistants spent the rush at the front desk, not on the phones
No clinical details, collected or stored. The assistant works from routing categories — appointment, refill, records, clinical-redirect — never symptoms, never a diagnosis. The refill caller's medication is never written down; the symptom caller is redirected before a single detail is taken.
BC PIPA-aware, by our delivery standards. Caller information is kept to the minimum a booking or a callback needs, held on short retention, with every third-party processing step disclosed.
Always disclosed, always a human path. Every caller is told up front they're speaking with an AI — with a real person, and 811 and 911, one step away.
Your records system stays untouched. The assistant neither reads nor writes to your EMR or patient records unless you separately scope and agree an integration.
The outcome
What changes — in typical-pattern estimates.
Illustrative outcomes — typical-pattern estimates, not guarantees or a promise about your clinic.
| Before | After (typical-pattern estimate) |
|---|---|
| The 8am Monday calls that reach a live answer | the ones who get through → every caller, in seconds |
| Refill requests clogging the acute lines | on the phone, ad hoc → routed to the pharmacy-fax protocol, off the voice queue |
| Patients defaulting to the walk-in or the ER after a busy tone | however many → most booked into a same-day slot instead |
| Symptom and urgent callers | mixed in and waiting → redirected to 811/911 in one breath, never advised |
Now the 8am storm arrives as a queue that sorts itself — the acute caller gets a slot, the refill goes to the pharmacy, the worried caller is pointed to a nurse in one warm sentence, and the front desk spends the morning on the people in the room. The safety rails do the heavy lifting, exactly as designed.
Transparent pricing
What it costs to start.
The Blaeberry stack starts at $3,500 for the AI Receptionist and $2,500 for Workflow Automation (the refill routing, callback queue, reminders and confirmations) — starting floors, fixed-quoted as one build after a free call. Every build requires a Care Plan, from $299/mo — a high-volume clinic line that surges at eight every morning usually sits on Growth, so the safety rails stay sharp.
Is it worth it for your business? Let's find out — free.
We'll tell you honestly whether it's worth it for your front desk.
Prefer to talk now? Call (236) 837-3550 — a real BC-based human picks up. We reply within one business day, usually faster.
Keep going
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