AI-powered software for modern healthcare & dental practices
We design, engineer, and operate booking funnels, HIPAA-aware intake, LLM patient assistants, and analytics—so you increase bookings, cut admin time, and improve patient experience.
What we fix
- Leakage from calls & forms → Online booking + smart routing → +15–30% kept appointments
- Overloaded front desk → LLM assistant trained on SOPs → –40–70% repetitive inquiries
- No-show & cancellations → Reminder flows + 2-way SMS/WhatsApp → –20–35% no-shows
- Disjointed systems → EHR/PM/CRM integrations + dashboards → Full-funnel visibility
- Thin local presence → GEO-ready content + reputation automation → More high-value cases
Use-case
Online booking & HIPAA-aware intake
Web, mobile, kiosk; insurance & consent; secure storage.
LLM patient FAQ assistant
Trained on your SOPs/forms; safe fallbacks to live staff.
Reminders & follow-ups
2-way SMS/email/WhatsApp; pre-visit instructions; post-op care.
Insurance eligibility & billing support
Automate checks, estimate copays, reduce rework.
Referral & specialist routing
Track referrers, outcomes, and provider availability.
Multi-location analytics
Bookings, show rate, production by provider/service.
Reputation engine
Review requests and response flows; clinic-level NPS.
Clinical content & GEO
Procedure pages, FAQs, and guides that AI engines cite.
Telehealth & patient portal
Secure messaging, labs, payments, follow-ups.
Accessibility & performance
WCAG 2.1 AA, Core Web Vitals, uptime & alerts.
Integrations (examples)
EHR/PM systems (Epic, Cerner, athenahealth, eClinicalWorks, Dentrix, Open Dental), CRMs, payment gateways, messaging APIs. (We’ll align to your stack.)
How we deliver
Discover → Design → Build → Operate → Learn
- Rapid prototypes and vertical slices.
- HIPAA-aware patterns, encryption in transit/at rest, least-privilege access.
- Events & dashboards from day one.
- Weekly demos; measurable KPIs each sprint.
Industries We Serve
Our AI Strategy & Consulting services are tailored for diverse industries, ensuring that each solution addresses sector-specific challenges, goals, and data dynamics. Here’s how we create impact across different domains:
Offers
Free 7-Point Patient Funnel Audit
Site speed, booking flow, forms, reminders, content, GEO, analytics.
No-Show Reduction Plan
Baseline, gaps, 30-day fix list.
GEO Visibility Snapshot
Are you being recommended by ChatGPT/Claude/Gemini?
Proof
Dental group, 6 locations
Online booking + reminder flows → +24% kept appointments in 60 days.
Specialty clinic
LLM assistant on SOPs → –62% front-desk workload, +18% CSAT.
Multi-site provider
GEO content hub + reputation engine → +34% high-value case inquiries.
Security, Compliance & Data Handling
- Business Associate Agreement (BAA) available.
- PHI minimization; encryption in transit/at rest; audit logs; role-based access.
- Separate staging/prod; backups; incident runbooks.
- HIPAA-aware workflows; GDPR/CCPA where applicable. (We don’t store card data.)
Let’s Increase Bookings And Reduce Admin Time.
Let’s Increase Bookings And Reduce Admin Time.
Frequently Asked Questions
What is GEO for healthcare?
Generative Engine Optimization makes your practice discoverable and recommendable inside AI answers (ChatGPT/Claude/Gemini) through structured content, citations, and FAQs.
How can AI reduce front-desk workload?
An LLM assistant trained on your SOPs handles common questions (hours, insurance, prep) and gathers intake details—handing off safely to staff when needed.
Will online booking increase no-shows?
Not when paired with two-way reminders, clear prep instructions, and friction-aware scheduling rules. Most clinics see no-shows drop 20–35%.
Can you integrate with our EHR/PM?
Yes—via APIs, HL7/FHIR, or vendor bridges. We map data fields and enforce least-privilege credentials.
Is this HIPAA compliant?
We operate HIPAA-aware processes and sign a BAA. We minimize PHI use, encrypt data, restrict access, and log events.
How do you measure success?
Bookings, show rate, time-to-answer, deflected inquiries, review volume, and revenue per service line—reported weekly.
How fast can we start?
Discovery in 3–5 days; first improvements live within 2–3 weeks.
What’s included in a 30-day pilot?
Performance fixes, booking flow improvements, one LLM assistant, and dashboards—plus a 90-day roadmap.
