Dental & medical practices
A 2-chair practice loses ≈ €3,000 a month to empty slots. Here's the model.
worked model
WHO THIS IS FOR
Five industries, five number-led breakdowns. Each one names the leaks, models the euros, and maps the machines that close them. Honest labels throughout: these are industry analyses, not client résumés, until real cases replace them.
Reception juggles the phone, the desk, and the treatment room. Recall postcards went out "sometime". Two no-shows today, again.
80 bookings × €150 · ~25% of long-lead slots at risk (model)
Where it leaks
What we install
On the roof at 14:00, phone in the van. The evening callback list is long, and half already hired someone.
believed answer rate 97% · measured 66% (study)
Where it leaks
What we install
Season peaks, the inbox doesn't care. Client documents arrive as photos of paper on a kitchen table.
150 invoices/mo ≈ 15 hours of typing (model)
Where it leaks
What we install
300 units, one inbox. Tenants ask, owners escalate, and the urgent drowns in the routine.
200+ enquiries/mo is the automation threshold (our working rule)
Where it leaks
What we install
Callers with urgent matters reach a mailbox at 17:05. The mandate goes to whoever picked up.
AI recommendations: 6% → 45% of consumers in a year (survey)
Where it leaks
What we install
Dental & medical practices
worked model
Trades & home services
industry study
Tax advisors & accounting
worked model
Property management
worked model
Law firms
survey
The scan reads these too, and the report prices their leaks exactly the same way. What is missing is the written breakdown, not the coverage: these three have not been analysed in public yet.
97% vs 66%
believed vs measured call answering
industry study
45%
of consumers now ask AI for local recommendations, up from 6% in a year
survey
60×
colder: next-day replies vs first-hour
HBR, 2,241 firms
Why there are no client names here yet. Kairox is weeks old and we won't invent case studies. These analyses use published studies and open models instead. The first ten clients get founding terms partly so this section can fill with real names. That trade is on the pricing page.
Long-form answers to the questions that come before the buying question. Every figure on them carries its publisher, its year and a link to the document it came from.