Done-for-you AI for clinics. We audit how the practice runs day to day, rank the bottlenecks hurting patients and staff, then build a staged AI roadmap and deliver it with 30 days of support.
Typical range · $8k–$20k
What's eating you
No clear view of where admin time disappears
Practice software and add-ons that do not talk to each other
Privacy questions stopping every AI conversation
Trials that die the week the champion goes on leave
What we automate
Clinic operations mapped and bottlenecks ranked
An AI roadmap that respects privacy and clinical governance
Fixed-price delivery by vetted Australian consultants
30 days of support so the change actually sticks
AI for medical & allied health
Three things we automate fast.
Clinic operations audit
We map front desk, clinical admin and billing workflows, then rank where time and revenue leak.
$8k–$12k
fixed price
2 weeks
delivery
AI strategy and roadmap
A sequenced plan covering which AI fits a clinic, how privacy is handled, and the return to expect per stage.
$10k–$16k
fixed price
3–4 weeks
delivery
Delivery and support
Consultants build the first stages, connect your practice systems and stay on for 30 days of support.
$12k–$20k
fixed price
4–6 weeks
delivery
Ideas & solutions · dental practice
The full-business audit for a dental practice
Before recommending anything, WHY.AI looks at all eight of these. No point automating a broken process, and no point building AI where a checklist would do.
Where the front desk and dentist actually spend their hours
The three biggest wins
Where the money actually is.
Win 1
AI voice + SMS receptionist
biggest single ROI
Reception spends the bulk of the day on the phone booking, rescheduling, confirming, and answering "do you take my health fund?" Meanwhile patients calling during peak hours go to voicemail or drop off entirely.
What we'd build
AI voice agent answers overflow, after-hours, lunch, and weekends. Qualifies, checks HICAPS/health-fund coverage, reads the live appointment book, books straight into Praktika / D4W / Core Practice.
SMS-first confirmations at 7 days, 48 hours, 24 hours — with two-way reply handling ("reschedule to Thursday please") that AI actions without a human.
Waitlist auto-fill — the moment a slot opens, AI texts the ranked waitlist and books the first firm yes.
Impact
No-show rate drops from 12–15% to 1–2% with proper AI reminders + confirmations
Recovers ~78% of lost no-show revenue for under $20/day in running cost
A 2-dentist practice recovers roughly $40k–$120k / year in no-show revenue alone
Front desk gets ~10–15 hrs/week back — a real headcount avoided, not just "we saved time"
Stack. Vapi or Retell for voice, Twilio for SMS, Make/Zapier for orchestration, direct PMS API integration.
Build cost
$12k–$18k
Payback
under 4 months
Win 2
Recall & reactivation engine
biggest hidden-revenue win
Every practice has a graveyard of lapsed patients sitting in the PMS. Most practices run a recall report that reception ignores because it's overwhelming.
What we'd build
AI reads the PMS weekly, segments overdue patients by behaviour: loyal-but-late, price-sensitive, complex-treatment abandoned, single-visit never-returned, moved-away.
Each segment gets a tailored SMS sequence (never robotic), with an email fallback. Unsubscribes honoured permanently.
Overdue treatment plans (patient said yes, never came back) get a separate resurrection sequence — usually the highest-dollar segment.
Impact
A well-run project on a database of 1,000+ lapsed patients typically books 80–200 appointments in the first 90 days
At $250–$400 average appointment value, that's $20k–$80k in the first quarter — from patients already in your database
Long-tail is bigger: each reactivated patient represents $3k–$8k lifetime value
Stack. Custom pipeline over Praktika/D4W exports (or API where available), Supabase for segmentation, Twilio SMS + SendGrid email, GPT-4/Claude for personalisation.
Build cost
$10k–$15k
Payback
typically first month
Win 3
Clinical notes scribe + treatment plan letters
quality-of-life + compliance win
Dentists spend ~30–60 minutes per day writing clinical notes and treatment plan letters — after hours, at home, tired.
What we'd build
Ambient clinical scribe — a phone or dedicated mic in the surgery listens during the appointment (with patient consent) and produces notes in the dentist's own format, ready to paste into the PMS.
Treatment plan letter generator — dentist voice-notes the plan and gets a patient-friendly letter, quote email, and health-fund pre-approval draft.
Referral letters to specialists auto-drafted from the notes.
Impact
Dentists reclaim ~5 hrs/week of admin — another 5 patients seen, or their evenings back
Treatment plan acceptance lifts because patients get a professional written summary within the hour, not two days later
Note quality improves — better medico-legal defence and cleaner audits
Stack. OpenAI Whisper for transcription, Claude/GPT-4 for structured output, custom Supabase layer for practice-specific templates. AU data hosting with a proper DPA — this is the one where Dental Board compliance actually matters.
Build cost
$14k–$20k
Payback
3–6 months
Net picture
For a typical 2-dentist, 6-staff practice
Metric
Before
After
No-show rate
12–15%
1–3%
Reception hours on phone / day
5–7
1–2
Dentist admin / day
45–60 min
5–10 min
Lapsed patients contacted / month
0–20 (ad hoc)
200–400 (systematic)
Missed after-hours calls
8–15 / week
~0
Recovered no-show revenue
—
$40k–$120k / yr
Recovered lapsed-patient revenue
—
$80k–$200k / yr (Year 1)
Reclaimed staff time
—
~20 hrs / week practice-wide
Total WHY.AI engagement to deliver all three: roughly $36k–$50k build cost, delivering north of $120k / year in recovered revenue plus 20 hrs / week of capacity. Dental is a good AI vertical because the revenue is already in the building — it's just leaking. AI plugs the leaks. No new marketing spend, no new hires, no new clinical services.