The outcomes teams like yours see with Tars
Purpose-built AI agents for healthcare
Customer Support
Answer every patient in seconds, and free your clinical staff for the care only they can give.
Triage symptoms and guide patients to the right care
A patient describes what's wrong in plain language: "I have pain in my leg", "my child has had a fever since last night". The agent understands what the symptoms point to and guides the patient to the right department and the right doctor, instead of leaving them to guess which specialty to call.
It runs on web, WhatsApp, and in your lobby, answers only from your clinical knowledge and your own doctor and specialty directory, and routes anything urgent or clinical to your staff with the whole exchange attached.
Avec Group reached a 90%+ interaction rate on its AI symptom checker, and Vivant answered health queries with 82% accuracy.
Verify identity and personalize care securely
Before the agent shares anything tied to a patient record, it confirms who it's talking to. It collects the medical record number or national ID and a one-time passcode, the same way every time, so personalized answers only go to the verified patient.
Identity verification runs as a deterministic flow, not as something the AI improvises, and once the patient is verified the agent can read from your records to personalize the conversation. Gama Hospital runs this across its website, WhatsApp, and in-lobby agents.
Handle refills, lab-result questions, and visit prep
The agent takes the routine clinical-adjacent questions that fill your front desk: prescription refill requests, "are my lab results back?", what to bring and how to prepare before a procedure, and where to go when they arrive.
It works across web, WhatsApp, and SMS, reads from your approved instructions rather than the open internet, and hands a refill that needs a prescriber's review or a result that needs a clinician to your team with the full context.
Patients get a clear answer at 9pm without a callback, and your staff stop fielding the same dozen questions all day.
Manage reminders, rescheduling, and no-show recovery
The agent sends appointment reminders and confirmations, handles rescheduling and cancellations in the same thread, and reaches out to fill the slot when someone cancels late, all as a two-way conversation the patient can reply to.
It runs on the channels patients actually read, WhatsApp and SMS, writes the change back to your scheduling system, and only pulls in staff when a patient needs something the calendar can't resolve.
Fewer no-shows, fuller schedules, and a front desk that isn't spending its morning on the phone confirming tomorrow's visits. International Medical Center automated more than 1,000,000 patient conversations this way on WhatsApp.
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Customer Acquisition
Turn every inquiry into a booked patient, day or night, in any language they speak.
Book appointments in the conversation, on any channel
A prospective patient asks to see a dermatologist or book a diagnostic scan, and the agent books it then and there: it finds the right specialty and provider, offers real availability, and confirms the slot, instead of taking a message for someone to call back.
It books on web, WhatsApp, and in your lobby, in the patient's own language, and writes the appointment straight into your scheduling system so the slot is held the moment the conversation ends.
More inquiries turn into confirmed visits, including the ones that come in after your front desk has gone home. International Medical Center booked and served patients across more than 1,000,000 automated WhatsApp conversations.
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Capture and qualify new-patient inquiries around the clock
When a new patient lands on your site or messages your WhatsApp asking about a service, the agent has the conversation your intake coordinator would: what they need, which service line fits, their insurance, and the details to get them booked or routed.
It works 24/7 across web and WhatsApp, qualifies the inquiry against your service lines, and writes the new-patient record and its answers into your CRM or intake system so nothing sits in an unread inbox overnight.
New-patient demand that used to die after hours becomes a qualified, booked pipeline your team picks up warm.
Verify insurance eligibility before the visit
The agent asks the coverage questions up front: the patient's plan, member ID, and the service they're coming in for, so the patient knows what's covered, what needs approval, and what they'll owe before they arrive.
It collects the details in the conversation and routes coverage and approval questions to your insurance or business-center team when a human needs to confirm, the same departments your patients already get bounced between.
Fewer surprises at the desk, fewer claim problems after the visit, and a billing team that starts the day with cleaner information.
Run preventive-care and screening outreach
The agent runs outbound outreach for screenings, vaccinations, and annual visits: a two-way reminder on WhatsApp or SMS that lets the patient book the moment they're ready, not a one-way blast they ignore.
When a patient replies, the agent finds availability and books the appointment in the same thread, and writes engaged patients back to your system for the care team to follow up.
Recommended care actually gets scheduled, and the panel that needs a checkup hears from you on a channel they'll answer.
How International Medical Center automated over a million patient conversations on WhatsApp
International Medical Center serves a high volume of patients who reach out on WhatsApp, the channel they already use every day, and the hospital needed those conversations answered instantly without growing its front-desk team to match. Tars AI agents ran those conversations end to end on WhatsApp, handling patient questions, bookings, and service requests in the patient's own language, and bringing in staff only when a conversation genuinely needed a person. The result: more than 1,000,000 customer service conversations automated, with patients answered in seconds instead of waiting on a phone queue.
One conversation per patient, across web, WhatsApp, and your lobby.
A patient starts a question on your website, doesn't finish, and continues on WhatsApp the next morning. Then they walk in and ask your lobby agent the same thing. In most tools that's three disconnected conversations, and the context is lost every time someone switches. That fragmentation is exactly why some hospitals stop trusting live chat. In Tars it's one conversation. The channel is just where each message arrived. There is no separate live-chat tool either: your AI agent and your staff work in the same thread. The agent resolves what it can, and when a clinical question, an insurance approval, or an urgent case needs a person, it hands over with the whole story attached. Your coordinator reads the full history before replying. Your patient never repeats themselves. And because identity verification runs the same way on every channel, the conversation stays inside your privacy boundary the whole way through.
How Tars Agents Get Better
The Tars agent flywheel
Standing up an agent your customers trust isn't a click a button and you're done story. Tars closes the loop end to end: train, test, deploy, learn, improve. More conversations get resolved instantly, and fewer reach your team, with every interaction.
Train
Connect your knowledge base, past conversations, and the systems your team already uses. The agent learns your products, your policies, and your customers, configured to your own data and rules.
Test
Simulate the agent against real customer questions before launch. Failure modes become validated evaluators, so you see real accuracy before a single customer sees it.
Deploy
Go live on web, WhatsApp, SMS, and email when the numbers say it's ready, with code based and LLM as judge evaluators scoring every conversation.
Get Insights
See which questions the agent struggles with, why escalations happen, and where customers drop off, with resolution broken down by use case.
Improve continuously
Close the gaps, re test, and raise resolution month over month. Each loop resolves more and escalates less.
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