The AI employees that do your most expensive repetitive work — explained straight.
We build AI receptionists, speed-to-lead responders, missed-call text-back, and inbox triage for dental clinics, med-spas, real estate, and law firms — and we run them for you. This is where we write down exactly what they do, what they cost, and where a human still has to take over. No hype, no invented case studies.
The three reads that answer the question you're actually asking.
AI Receptionists for Dental Clinics: What They Do, What They Cost, and What to Watch For
Every missed call is a patient who booked somewhere else. Here's exactly which front-desk calls an AI receptionist answers, how speed-to-lead and missed-call text-back win the booking, what it costs, and the moments a human still has to take the phone.
Read the guide →AI Front Desk vs. a Receptionist: The Honest Cost Comparison for 2026
Salary is the smallest number on the page. We add up benefits, turnover, training, after-hours gaps, and the leads that slip through — then put a human front desk and an AI front desk side by side, line by line, for a typical dental or med-spa practice.
Read the comparison →The AI Agent ROI Calculator: How to Value an AI Employee Before You Hire One
Before you buy any AI agent, you can size the return on the back of a napkin. Count the missed leads, the after-hours calls, and the back-office hours one agent removes — then weigh them against a flat monthly price. We give you the exact formula.
Run the numbers →Two jobs, written about honestly.
Every AI employee we build does either front-of-house work — the calls, texts, and leads a busy front desk drops — or back-office work — the inbox, the CRM, the data entry that eats a team's afternoon. The blog stays close to those two jobs and the verticals that feel them most: dental, med-spa, real estate, and law.
Book an intro call →A new lead answered in seconds, and a missed call texted back before they call a competitor — the two cheapest wins most practices leave on the table.
A voice receptionist that answers, qualifies, and books — plus structured intake so the right caller reaches the right person, and an escalation path to a human that never silent-fails.
The inbox sorted, the junk gone, and a ready-to-send draft on the messages that matter — so the team approves instead of writes.
Contacts deduped and enriched, invoices keyed in, no-shows recovered, and a one-page morning briefing — the quiet work that keeps a practice running.
They learn from corrections — without us pretending it's magic.
When we say an AI employee "learns from feedback," we mean something specific and honest — not model fine-tuning. Three things happen, and we write about all of them:
When a human fixes a reply or a booking, that correction is saved as a reusable example the agent reaches for next time.
An evaluator reviews outcomes against benchmarks and proposes versioned playbook revisions — which a human approves before they go live.
Every error is captured, the guardrails tighten, and the agent escalates to a person. It never silently fails, and it keeps per-contact memory.
Start with one AI employee. Outcome guaranteed.
Most practices start with a single agent — the one fixing their most expensive leak — and add from there. Pricing is plain text: $1,000 setup + $500/mo for one outcome-guaranteed agent, scaling to the full front-desk and back-office suite.