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Solutions · Clinics & health practices

Full schedule. Empty voicemail.

A clinic's economics live and die on the schedule: no-shows, unanswered booking calls, and lapsed recalls are six-figure leaks. All three are automation problems - solvable with privacy-first engineering.

Sound familiar?

The three leaks in every practice's schedule.

No-shows cost six figures

Dental practices lose 7.4% of confirmed appointments to no-shows and 15.5% more to cancellations - $105,000-$240,000 a year at typical chair rates.

$200-$375 lost per missed slot - Planet DDS 2025, 3,400 practices

The 2pm booking call hits voicemail

Your front desk is checking in patients while new-patient calls ring out. After hours, callers book with the next clinic on Google.

Denials that didn't have to happen

Insurance denial rates run 5.7% to over 40% depending on payer - and systematic eligibility re-verification cuts denials by 43%.

~$8,700/provider/year in preventable denials - CAQH

The recall list nobody calls

Overdue hygiene and lapsed patients are revenue you already paid to acquire, sitting in a report nobody has time to work through.

Documentation eats the day

Intake forms, referral letters, insurance cards - typed, retyped, and filed by hands that should be with patients.

What we'd build for you

Systems, not experiments.

01

The no-show killer

An SMS-first confirmation ladder, self-serve rescheduling, and an AI waitlist agent that instantly offers freed slots to matched waitlisted patients.

The outcome

Automated reminders cut no-shows ~23% in a 1.6M-appointment study - worth tens of thousands a year to a mid-size practice.

02

AI phone front desk

Every call answered 24/7: appointments booked, moved, and confirmed directly in your practice system; clinical or complex calls routed straight to staff; identity verified before anything is disclosed.

The outcome

The booking rush stops going to voicemail - and after-hours callers become patients.

03

Eligibility & prior-auth pipeline

Insurance details extracted at intake, eligibility auto-checked before every visit, prior-auth requirements flagged with paperwork pre-filled.

The outcome

Preventable denials drop - up to ~43% with systematic re-verification.

04

Reactivation engine

A nightly agent works the overdue-recall and lapsed-patient lists, drafts personalized outreach for front-desk approval, and books responders automatically.

The outcome

Quiet-day capacity fills from patients you already earned.

05

The owner's morning report

Yesterday's production versus goal, today's schedule gaps, no-show risk flags, and outstanding claims - one message before the first patient.

The outcome

You run the practice from one report, not five reports.

A note on doing this properly: Health data demands more: PHI-touching systems are architected for HIPAA/PIPEDA-grade compliance with BAAs where applicable, identity verification before disclosure, and zero clinical advice from any bot. If a vendor can't sign for it, we don't use them.

Why Peligent for this

Privacy-first isn't a slide. It's our stack.

We self-host everything we run - mail, analytics, scheduling, automation, 50+ services - so building patient-data systems that never leave your infrastructure is our default posture, not an exception. Our own booking runs on a self-hosted scheduler; the machinery is proven daily.

How we run our own stack →

A practice's quiet engine

07:00 schedule-scan 2 gap slots offered to waitlist

09:40 phone-desk new patient booked during rush

12:15 eligibility tomorrow's visits verified, 1 flag

16:30 recall-agent 18 overdue patients drafted for outreach

19:05 reminder-ladder confirmations out for Thursday

Common questions

Asked by owners like you.

Is this compliant with health privacy law? +

That's the foundation, not a feature. PHI-touching systems are architected for HIPAA and PIPEDA-grade compliance - business associate agreements where applicable, identity verification before any disclosure, self-hosting where required, and zero clinical advice from any bot.

How much can automated reminders really cut no-shows? +

A study across 1.6 million appointments found automated reminders cut no-shows by about 23% versus manual methods. At $200-$375 per missed slot, that's typically tens of thousands a year for a mid-size practice - your rate times your chair cost gives the exact figure.

Does the AI front desk replace my reception staff? +

No - it answers the calls they physically can't: the 2pm rush when they're checking in patients, and everything after hours. Your team handles the humans in front of them; the AI makes sure the phone stops costing you patients.

Your schedule is the business. Let's protect it.

Book the free call - bring your no-show rate and your recall list size. We'll do the math with you live.

No slides. No hype. 30 minutes.