[RU] HIPAA Compliant

[RU] AI Patient Coordinator

[RU] Your front desk is overwhelmed. Patients are on hold. Follow-ups slip through the cracks. We build, deploy, and manage AI employees that handle scheduling, intake, patient communication, and after-hours inquiries so your clinical staff can focus on patient care.

[RU] Book Your Audit. $1,500

[RU] What Is the Healthcare Administrative Problem?

[RU] The core administrative problem in healthcare is that front desk staff spend most of their day on the phone instead of with patients. Scheduling, rescheduling, confirming, reminding, answering the same questions about hours, insurance, and prep instructions.

Meanwhile, patients wait on hold. Follow-up calls do not get made. Intake forms arrive incomplete. No-shows cost you revenue every week.

Your staff is not the problem. The volume is.

AI employees handle the repetitive administrative work that buries your front office so your team can focus on the patients standing in front of them. As healthcare AI adoption accelerates (83% of healthcare executives are now piloting generative AI, Accenture 2025), managed deployment is what separates successful implementations from failed experiments.

[RU] Which AI Employees Work in Healthcare?

[RU] Six production-grade Managed AI Employees built for medical practices. Each one connects to your EHR and practice management system, follows your protocols, and escalates what requires clinical judgment.

[RU] Patient Scheduling Coordinator

[RU] Manages appointment booking, rescheduling, and cancellations across phone, web, and messaging, 24/7.

[RU] Books, reschedules, and cancels appointments based on provider availability and scheduling rules you define
[RU] Sends automated reminders via text, email, or voice at intervals you choose
[RU] Handles waitlist management and fills cancelled slots with waitlisted patients automatically
[RU] Syncs with your EHR/practice management system in real time

[RU] What it handles

[RU] The scheduling calls that keep your front desk on the phone all day. Patients book at 10pm, on weekends, during lunch. This AI employee is always available.

[RU] Patient Intake Coordinator

[RU] Collects patient information, medical history, and consent forms before the appointment, digitally, completely, on time.

[RU] Sends intake forms to patients via their preferred channel (text, email, patient portal) days before their appointment
[RU] Follows up with patients who have not completed forms automatically, without nagging your staff
[RU] Validates completeness and flags missing information before the patient arrives
[RU] Feeds completed data directly into your EHR so the provider has everything at check-in

[RU] What it handles

[RU] The incomplete intake forms that slow down every appointment. Patients complete forms on their phone, on their schedule. Your clinical staff starts every visit with a complete chart.

[RU] After-Hours Receptionist

[RU] Answers patient calls and messages outside office hours with accurate, practice-specific information.

[RU] Answers common questions about office hours, location, accepted insurance, procedure prep, and post-visit instructions
[RU] Triages urgent inquiries and routes them to on-call staff with full context
[RU] Books and confirms appointments during off-hours so patients do not have to wait until morning
[RU] Logs every interaction for your team to review the next business day

[RU] What it handles

[RU] The after-hours calls that go to voicemail and the patients who call a competitor instead of leaving a message. This AI employee answers every call, routes urgent issues, and books appointments while your office is closed.

[RU] Patient Follow-Up Coordinator

[RU] Manages post-visit communication, care plan adherence, and recall scheduling.

[RU] Sends post-visit summaries, care instructions, and medication reminders via text or email
[RU] Checks in with patients after procedures to screen for complications and escalate concerns
[RU] Schedules follow-up and recall appointments based on care plans and visit history
[RU] Tracks patient engagement and flags patients who are falling out of their care plan

[RU] What it handles

[RU] The follow-up calls that your staff means to make but rarely has time for. Every patient gets consistent follow-up. No one falls through the cracks.

[RU] Insurance Verification Specialist

[RU] Verifies patient insurance eligibility and benefits before appointments.

[RU] Checks eligibility and coverage details against payer databases before each scheduled visit
[RU] Flags coverage issues (expired policy, out-of-network, prior auth required) days before the appointment
[RU] Generates coverage summaries for your billing team with copay, deductible, and authorization details
[RU] Reduces day-of surprises that frustrate patients and delay your revenue cycle

[RU] What it handles

[RU] The insurance verification calls that eat hours of your billing team's week. Verification runs automatically for every scheduled patient. Your team handles the exceptions, not the routine checks.

[RU] Review and Reputation Manager

[RU] Solicits, monitors, and responds to patient reviews across Google, Healthgrades, and other platforms.

[RU] Sends review requests to patients after positive visits at the right moment in the post-visit flow
[RU] Monitors reviews across Google, Healthgrades, Zocdoc, and Yelp in real time
[RU] Drafts responses to reviews following your practice's communication guidelines
[RU] Flags negative reviews for immediate attention with suggested responses and context

[RU] What it handles

[RU] The online reputation management that most practices handle reactively. Consistent review solicitation, faster responses, and better visibility into patient sentiment.

“[RU] The technology requires the human to change in order to gain the benefit.”
Kaveh Safavi, Senior Managing Director, Accenture Global Health (2025)[RU] Accenture estimates AI applications could create $150 billion in annual savings for the U.S. healthcare sector, but only with proper deployment infrastructure. 83% of healthcare executives are piloting generative AI, yet fewer than 10% are investing in infrastructure for widespread deployment (Accenture, 2025). That gap is why managed AI services matter.

[RU] How Does Deployment Work?

[RU] Healthcare deployments take 4-7 weeks total due to compliance review and EHR integration testing. Four steps, fully managed.

[RU] AI Workforce Audit (1-2 weeks, $1,500)

[RU] We analyze your practice operations: call volume, scheduling patterns, no-show rates, intake completion rates, after-hours call data. You get a scored report showing which AI employees will have the highest impact on your practice.

[RU] Build and Deploy (3-5 weeks)

[RU] We build your AI employees with production-grade architecture designed for healthcare: deterministic conversation controls, structured data handling, and integration with your EHR and practice management system (Epic, athenahealth, DrChrono, Kareo, or custom). Every AI employee follows your practice's specific protocols.

[RU] Managed Operations ($2,000/mo per employee)

[RU] Your monthly fee covers performance monitoring, behavior tuning, knowledge updates when your providers, hours, or protocols change, integration maintenance, and edge case resolution. Your AI employees improve every month.

[RU] Expand

[RU] Start with one role. Add more as you see results. The 3-employee and 5-employee tier pricing is designed for this growth path.

[RU] Why Not Just Use a Generic Chatbot?

[RU] Consumer AI tools are not built for healthcare. HIPAA changes everything.

[RU] Factor	[RU] Do It Yourself	[RU] Garni Labs Managed AI Employee
[RU] HIPAA Compliance	[RU] Not compliant. Chatbase, Tidio, ChatGPT, and most chatbot builders do not sign BAAs and cannot be used for patient data. Using them for patient communication violates federal law.	[RU] HIPAA-compliant architecture. Business Associate Agreement included. Patient data encrypted at rest and in transit. Audit logging for all interactions.
[RU] EHR Integration	[RU] None. Consumer chatbots do not connect to Epic, Athenahealth, DrChrono, or any EHR system. No appointment lookup, no patient record access.	[RU] Direct integration with your EHR and practice management system. Appointment scheduling, patient record lookup, and referral routing.
[RU] Medical Communication Standards	[RU] Your responsibility. No built-in safeguards against giving medical advice. No escalation protocols for urgent symptoms.	[RU] Built-in clinical guardrails. Automatic escalation for urgent symptoms. Configurable response boundaries. Compliant with state medical board communication guidelines.
[RU] Patient Intake Quality	[RU] Basic form with name and reason for visit. No insurance verification, no medical history intake, no triage logic.	[RU] Intelligent intake: collects demographics, insurance, medical history, and reason for visit. Triage logic routes urgent cases immediately. Pre-visit paperwork completed before arrival.
[RU] Your Time Required	[RU] 5 to 10 hours per month, plus significant compliance risk that you carry personally.	[RU] Zero hours. We manage compliance, updates, and optimization. Monthly reporting on patient interactions and satisfaction.
[RU] When Models or APIs Change	[RU] You rebuild, and you carry the compliance risk during the transition.	[RU] We migrate, re-validate compliance, and redeploy. Zero patient-facing downtime.
[RU] Monthly Investment	[RU] $130 to $500 per month in tools, plus 5 to 10 hours of your time, plus unquantifiable compliance risk.	[RU] $2,000 per month, fully managed and HIPAA compliant.

[RU] Pricing

[RU] HIPAA-compliant AI employees for your practice. Pricing reflects the compliance architecture required for healthcare.

[RU] Managed AI Employee

[RU] build

[RU] $7,500

[RU] monthly

[RU] $2,000/mo

[RU] Patient intake, scheduling, and follow-up. HIPAA-compliant architecture with EHR integration.

[RU] AI Department

[RU] build

[RU] $10,000-$15,000

[RU] monthly

[RU] $4,000/mo

[RU] Full practice operations: intake, scheduling, referrals, billing inquiries, and patient communication.

[RU] AI Workforce Audit. [RU] $1,500. [RU] Credits toward your first build.

[RU] Every monthly fee includes: performance monitoring, prompt and behavior tuning, knowledge base updates, integration maintenance, edge case resolution, model migration, and monthly performance reporting.

[RU] Your patients call outside office hours. Now someone answers.

[RU] Book an AI Workforce Audit and find out exactly which AI employees will have the highest impact on your practice operations.

[RU] Book Your Audit. $1,500

[RU] Related Industries

[RU] AI employees work across multiple business types. If you operate in adjacent industries, see:

[RU] Insurance

[RU] Policy inquiries, claims intake, renewal management.

[RU] Learn more →

[RU] Accounting

[RU] Bookkeeping automation, reconciliation, financial reporting.

[RU] Learn more →

[RU] Frequently Asked Questions

[RU] Is this HIPAA compliant?+

[RU] We build every healthcare AI employee with HIPAA-conscious design principles: encrypted data transmission, access controls, audit logging, and BAA-ready infrastructure. We work with your compliance team to ensure every deployment meets your regulatory requirements. We are not a covered entity, but our architecture is designed for healthcare data sensitivity from the ground up.

[RU] What EHR systems do your AI employees integrate with?+

[RU] Epic, athenahealth, DrChrono, Kareo, AdvancedMD, and any EHR or practice management system with an API. We also integrate with your phone system, patient portal, and communication tools.

[RU] How do you handle urgent patient calls?+

[RU] Every AI employee has defined escalation protocols. Urgent calls are routed to on-call staff immediately with full context. It triages based on criteria you define. It does not make clinical decisions. It routes to the right person, fast.

[RU] How long does deployment take?+

[RU] 4-7 weeks from kickoff to live. Healthcare deployments take longer due to compliance review and EHR integration testing. The AI Workforce Audit takes 1-2 weeks, and the build takes 3-5 weeks.

[RU] Will patients know they are talking to an AI?+

[RU] We recommend transparency. Our AI employees identify themselves as automated assistants while maintaining a warm, professional tone consistent with your practice. Patients overwhelmingly prefer an AI that answers immediately over a voicemail they leave at 9pm.

[RU] Can I start with one AI employee and add more later?+

[RU] Yes. Most healthcare clients start with Patient Scheduling or the After-Hours Receptionist, see the impact on no-show rates and call volume, then expand. The 3-employee tier pricing is designed for this growth path.