Voice AI for Every Medical Specialty
A dermatology cosmetic consult, a post-op orthopedic follow-up, and a 2 AM behavioral health call have nothing in common except a phone line. Generic answering AI treats them identically. CuroAI deploys scheduling and routing logic built for how each specialty actually runs, validated with your team before a single patient hears it.
- clinical specialties with workflow logic already designed
- 50+clinical specialties with workflow logic already designed
- of patient access operations behind every specialty playbook
- 21 Yearsof patient access operations behind every specialty playbook
- from kickoff to validated go-live in your specialty
- 4 Weeksfrom kickoff to validated go-live in your specialty
Every Specialty Leaks Revenue Through the Phone Differently
Every specialty leaks revenue through the phone differently. Dental practices lose unanswered new-patient calls while staff are chairside. Physical therapy loses patients mid-plan when missed visits are never re-booked. Behavioral health loses intakes to lead time, and eye care loses annual exams to recall lists nobody has time to work. A voice AI that does not understand those differences automates the greeting and misses the revenue.
CuroAI was built by operators who ran patient access across 17 health networks for 21 years, and its workflow library spans more than 50 clinical specialties. Each deployment goes through structured validation against 30+ days of your real call data before going live.
Browse by Specialty
Also deployed across: Pediatrics · OB/GYN & Women’s Health · Urgent Care · Gastroenterology · Pain Management · Cardiology · Podiatry · ENT & Allergy · Primary Care · Multi-Specialty Groups · FQHCs, and 40+ more. Don’t see your specialty? Workflow logic likely already exists in our library — schedule a briefing and we will walk through it.
Why Specialty-Specific Voice AI Matters
The difference between generic and specialty-built AI shows up in the details that determine whether a call becomes revenue: booking a Mohs follow-up with the right duration and surgeon, scheduling PT inside an authorization limit, recognizing that flashes and floaters are not a frame adjustment. CuroAI encodes those rules per specialty, applies clinical safety protocols for urgent and crisis presentations, runs outbound recall and re-engagement tuned to each specialty’s revenue cycle, and reports it all through analytics your administrators can act on.
It all happens inside the EHR your specialty already runs: Epic, Cerner, athenahealth, eClinicalWorks, ModMed, and 50+ more, with real-time scheduling writeback, HIPAA compliance and SOC 2 Type II controls, and a BAA from day one.
Frequently Asked Questions
CuroAI’s workflow library covers 50+ clinical specialties. Dedicated playbooks are published for orthopedics, dental/DSOs, dermatology, behavioral health, physical therapy, and eye care, with pediatrics, OB/GYN, urgent care, gastroenterology, pain management, and dozens more deployed through the same validated process.
Generic AI answers the phone; specialty-built AI completes the workflow. That means correct visit types and durations, specialty scheduling rules like global periods and authorization limits, urgency recognition tuned to the specialty, and recall logic matched to how that specialty generates revenue.
Yes. One deployment can run different workflow logic per department, per provider, and per location, with unified routing, centralized reporting, and consistent escalation standards across the group.
The published pages cover our most requested specialties, not the limits of the platform. Workflow logic for most specialties already exists in the library, and the four-week validated deployment process is identical either way.
Typically about four weeks: workflows mapped with your team, configuration validated against 30+ days of your real call data, a controlled pilot, then expansion, live only after your operational sign-off.
Hear your specialty handled before you buy: call the live demo line at 628-209-6800, or schedule an executive briefing and see your own scheduling rules running in a sandbox within weeks.