Mental Health

Someone just decided to start therapy. Answer them before they close the tab.

Tars AI Agents run the conversations that turn mental health inquiries into booked first sessions. The agent answers coverage and cost from your payer list, matches the person to a clinician who fits, and books the first session, on web, WhatsApp, SMS, and email. It stays operational, never clinical, and a crisis protocol you write runs the same way every single time.

Chosen by 800+ global brands across industries
Brightline

The outcomes teams like yours see with Tars

First sessions
Booked inside the conversation, on your clinicians' real calendars
Coverage answered
Plan, network status, and self-pay cost, on the spot
Clinician match
Specialty, modality, and availability in one exchange
After hours
The 11pm decision still becomes an appointment

Convert

Between deciding to get help and sitting in the first session, there are four places practices lose people.

Settle the coverage and cost question before they leave the page

Deciding to start therapy is the hard part. The next question is smaller and completely practical: do you take my insurance, and what does it cost me?

The agent works from the payer list, plans, and self-pay rates you give it. It asks which plan they carry, then tells them what you can stand behind: in network or out for that plan, what a first session and an initial psychiatric evaluation cost, and what your self-pay option is. Anything that needs a real eligibility check goes to your billing team with the details already collected.

Fewer people disappear at the money question, and the ones who reach a human already know what care will cost.

Match the person to a clinician they will actually see

"Find a therapist" is not one question. It is availability, specialty, modality, and fit at once. Most practice websites answer that with a wall of headshots and a filter nobody uses.

The agent works from your own clinician directory: specialties, modalities, languages, telehealth or in person, current openings, and which prescribers are accepting new patients. It asks the few questions that narrow it, then presents the clinicians who genuinely fit and the times they have. It never promises that a specific clinician is available, and it does not answer a symptom description by naming one.

More people land on a clinician who will still be their clinician in six months.

Capture the decision at the exact hour it gets made

The decision does not arrive during business hours. It arrives at the end of a bad week, at 1am, on a Sunday. Your front desk is closed and your form promises a callback in two business days.

The agent is the thing that is awake. It has the real conversation on the channel they came in on, and either books the first session or captures a qualified record with the plan, the preference, the urgency, and the source attached. When someone is ready now, your team gets an alert with the full context.

Weekend and after hours demand stops expiring into voicemail, in a category where people simply contact the next practice on the list.

Bring back the person who read everything and booked nothing

Plenty of people ask two good questions and then stop, to check with a partner or look at the deductible. That is not a lost lead. It is a person mid-decision.

Because the channel is a property of each message and not a separate conversation, the same thread picks up wherever they return: the follow-up email two days later, the WhatsApp message a week after that. The agent already knows what they asked, which plan they carry, and which clinician they were looking at. You can also reach back out by email, SMS, or WhatsApp with the one thing that was missing.

The people closest to starting stop falling out of the funnel.

Platform

Four things you have to be sure of before an AI agent talks to people about their mental health.

Decide in advance exactly what the agent is allowed to say

Every buyer here opens the demo by trying to break it. Name me a therapist for what I have. Tell me if this is depression. Getting a clinician, a plan, or a symptom wrong is a legal problem.

The agent answers from your approved content and nothing else, and declines and hands off when a question falls outside it. No diagnosis, no assessment, no treatment guidance. The risky moments run as deterministic flows you define once: crisis response surfaces the 988 Suicide and Crisis Lifeline, stops the intake questions, and escalates to a live person, at 3am exactly as at 3pm.

One written protocol tells your clinical and legal leads what the agent will say.

Turn the conversation into a session on a real calendar

For a therapy or psychiatry practice, the conversion event is not a form submission. It is a first session on a specific clinician's calendar.

Booking happens inside the conversation. The agent reads live availability from your clinicians' own Google or Outlook calendars and books against your rules: session length, buffers, minimum notice, working hours, and the person's time zone. Multiple clinicians can be assigned round robin, least busy, or in a priority order you set. Everyone gets a real calendar invite and a confirmation, and the clinician gets the notification with the conversation attached.

The first session is on the calendar while the person is still resolved to go.

Trace every first session back to the campaign that paid for it

Most practices know how many people visited and how many forms came in. Almost nobody can say which campaigns paid for the people who actually started therapy.

One analytics home shows conversations, engagement, escalations, and conversion, every trend compared against the previous period. Lead source attribution breaks results down by campaign, UTM source, and landing page, so you can see which spend produces booked first sessions, not conversation counts. Goals count only when the underlying action actually succeeded. Every number is clickable down to the individual conversation, and the improve view ranks what is going wrong most often.

You walk into a budget review with the first sessions and the campaigns that paid for them.

Prove the agent behaves before a single person sees it

No therapy practice puts an agent in front of people deciding whether to get help on a vendor's word. Marketing tests it, clinical tries to break it, legal asks what happens on the worst day.

Tars runs that cycle as a product step. Simulated people, driven by personas and goals from your content, hold multi-turn conversations with your actual agent before launch, scored two ways: deterministic code checks and LLM-judge evaluators. Your worst-case inputs, including crisis triggers and clinical boundary rules, become standing tests, and you deploy when the scores clear your threshold.

Your reviewers sign off on what they watched it do, and the agent keeps improving on the questions people actually ask.

How Tars Agents Get Better

The healthcare acquisition flywheel

Putting an agent in front of people asking about care is not a click-a-button decision. Your clinical, legal, and marketing leads all have to sign off first. Tars closes the loop end to end. Train, test, deploy, learn, improve. More inquiries answered and more first appointments booked with every cycle.

Step 1: Train

Connect your service lines, locations and provider directory, accepted payers, pricing and policy pages, intake criteria, and past inquiry history. Set the guardrails and the exact wording for sensitive topics. The agent presents your care the way your best intake coordinator does, from your content and your rules.

Step 2: Test

Run simulated inquiries against the agent before launch, including the ones your reviewers are most worried about. Your escalation protocol and clinical-boundary rules become standing evaluators, so you see how the agent behaves on the hard cases before a single visitor does.

Step 3: Deploy

Go live on web, WhatsApp, SMS, and email when the scores clear your threshold, with booking and CRM write-back switched on from day one.

Step 4: Get Insights

See where inquiries drop off, which campaigns and landing pages produce booked appointments, and how conversion differs by location and service line. Every number opens down to the individual conversation behind it.

Step 5: Improve continuously

Close the gaps, re-test, and raise booked appointments month over month. Each cycle converts more of the traffic you are already paying for.

The healthcare acquisition flywheel: train, test, deploy, get insights, improve continuously

Believe what you can measure

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

GDPR
ISO
SOC 2
HIPAA

Watch an agent turn your website traffic into booked appointments.

30 minutes, using your service lines, your payers, and your own protocols.

Schedule a Demo

Frequently asked questions

Could it say something wrong about a clinician, a plan, or a symptom?

That is the right first question, and the answer is structural. The agent answers only from content you approve and declines when a question falls outside it. It does not diagnose, assess, or advise on treatment. On clinicians specifically, it presents who fits and who has availability from your own directory, and it never implies that a particular clinician is guaranteed or that they are the clinical answer to a condition. On coverage, it says what your payer list actually supports and routes anything needing a real eligibility check to your team. Before launch you run your own worst-case inputs at it, and those become standing tests it has to keep passing.

What happens if someone in the chat is in crisis?

A crisis protocol that you write runs, deterministically. You define the trigger language and the exact response: the agent surfaces the 988 Suicide and Crisis Lifeline and any resources you specify, stops asking intake questions, and escalates to a live person immediately with the full conversation attached. It runs the same sequence on web, WhatsApp, SMS, and email, and at 3am exactly as at 3pm. Your clinical lead signs off on one written protocol and knows what a visitor will be told.

Is Tars HIPAA compliant?

Yes, with a BAA available, alongside SOC 2 Type 2, ISO 27001, and GDPR. Because someone can disclose a condition or an intention on a public page, you also get role-based access, retention periods you control, an audit trail per conversation, and explicit control over what the agent can access and store.

Can it book onto our clinicians' actual calendars?

Yes. Booking happens inside the conversation, against live availability read from your clinicians' Google or Outlook calendars, with your rules for session length, buffers, minimum notice, booking window, working hours, and time zones. You choose how sessions distribute across clinicians: round robin, least busy, or a priority order. Attendees get a calendar invite and a confirmation, and the clinician or coordinator gets a notification with the conversation attached.

How do we know it is producing first sessions and not just chats?

Every conversation carries its source: the page it started on, the campaign and UTM parameters behind it, what the person qualified for, and whether a session was booked. Bookings count only when the booking actually went through. The dashboard breaks conversion down by campaign, source, and page, and every number is clickable down to the individual conversation, so you can read the ones that converted and the ones that did not. Export it and put it in the board deck.

We could build this ourselves. Why Tars?

Standing up a chat box on a model is the easy part, which is why so many practices already have one that nobody uses. The hard part is everything after: deterministic crisis and coverage flows your clinical and legal reviewers will sign, evaluation that shows how the agent behaves on your worst inputs before a patient sees it, one conversation that follows a person across web, email, WhatsApp, and SMS, audit trails and HIPAA posture, attribution into your CRM, and a person on your team taking over inside the same thread. That is what Tars has spent 8+ years on. You go live in weeks, not across several quarters of your own roadmap.

We are a group practice with a handful of clinicians. Is this overkill?

No. The agent is deployed against your clinician directory, your payer list, and your calendars, and it goes live on the pages where intent is highest before it goes anywhere else. Tars runs the implementation with you, including the guardrail setup and the pre-launch testing, so you are not the one supplying the prompt engineering. You keep the controls afterwards: edit the knowledge, refresh your content, adjust the protocol, read the dashboard.

Real results, real customers, real stories

“We're saving an average of 4,000+ calls a month.”
Implementing an Agent revolutionized our customer service channels and our service to Indiana business owners. We're saving an average of 4,000+ calls a month and can now provide 24x7x365 customer service️ along with our business services.
Lindsey Roark Mayes
Ex-Director of SOS IT (State of Indiana)
“Cutting down on staff needing to email back.”
Since our launch of Tars Agents, we've had more than 5k interactions with them from individuals on the website. We saw prospects interacting with the Agent regarding application timelines, tuition, curriculum, and other items that may come through an email. This provides another avenue of access to our team while cutting down on staff needing to email back.
Levi Eastwood
Marketing Director of UCI Merage School
“I like the product.”
Takes those boring forms and allows you to make the collecting of customer information enjoyable for the user. It has a lot of value and I see the company constantly working on improving it.
Pierre Rattini
Director of Marketing
“Easy for cooperation and open to agreement.”
One of the biggest qualities of TARS is their ability to truly understand their clients' needs. They took the time to thoroughly assess our requirements, offering valuable insights and recommendations that we hadn't even considered. This level of personalized attention made a significant difference in the success of our project.
Milica Petrovic
Customer Care Project Associate
“Very responsive and supportive Team”
I love how supportive and responsive the team members are. The AI agents are not difficult to build once you have an idea of what you are doing, and this is so based on the backend work Tars has completed. Also, they are flexible to the clients' requests.
Keisha Cameron
Product Manager, VM Group
Victoria Mutual Group logo
“Best in class for lead generation”
TARS is an essential tool within our lead gen strategy. I started to use it a couple years ago, and the platform evolved to focus on results. You can integrate your Google Analytics, Facebook Pixel, and AdWords conversion tag to track results and measure your campaign. You can also integrate with Zapier, which opens a lot of possibilities. Compared with static landing pages, we have seen an increase in conversions and more engagement.
Leonardo Wolff
Founder
“Very professional and cooperative”
Building an automated chat that our customers actually used and reduced calls amount.
Maryam Alhaddad
Customer Journey Designer
Vodafone
“Flexibility and good service”
Tars platform is very flexible, so you can do pretty much any flux you desire. Also integrates with any third party through APIs with a very simple and easy-to-use interface. Also tars team is great! Always at disposal and brings suggestions and solutions for any issue encountered during the process of building the chatbot.
Lucas Von Lachmann
Process Manager
“The AI agent implementation has exceeded expectations!”
The implementation has delivered 24/7 customer support and is proving its value by reducing Contact center calls by around 5% in just four months of operation. Beyond enhancing the e-care experience, the AI agent is driving impressive business results, achieving a remarkable 20% month-on-month growth.
Victor Pereira
Customer Care and CX Manager
“We're saving an average of 4,000+ calls a month.”
Implementing an Agent revolutionized our customer service channels and our service to Indiana business owners. We're saving an average of 4,000+ calls a month and can now provide 24x7x365 customer service️ along with our business services.
Lindsey Roark Mayes
Ex-Director of SOS IT (State of Indiana)
“Cutting down on staff needing to email back.”
Since our launch of Tars Agents, we've had more than 5k interactions with them from individuals on the website. We saw prospects interacting with the Agent regarding application timelines, tuition, curriculum, and other items that may come through an email. This provides another avenue of access to our team while cutting down on staff needing to email back.
Levi Eastwood
Marketing Director of UCI Merage School
“I like the product.”
Takes those boring forms and allows you to make the collecting of customer information enjoyable for the user. It has a lot of value and I see the company constantly working on improving it.
Pierre Rattini
Director of Marketing
“Easy for cooperation and open to agreement.”
One of the biggest qualities of TARS is their ability to truly understand their clients' needs. They took the time to thoroughly assess our requirements, offering valuable insights and recommendations that we hadn't even considered. This level of personalized attention made a significant difference in the success of our project.
Milica Petrovic
Customer Care Project Associate
“Very responsive and supportive Team”
I love how supportive and responsive the team members are. The AI agents are not difficult to build once you have an idea of what you are doing, and this is so based on the backend work Tars has completed. Also, they are flexible to the clients' requests.
Keisha Cameron
Product Manager, VM Group
Victoria Mutual Group logo
“Best in class for lead generation”
TARS is an essential tool within our lead gen strategy. I started to use it a couple years ago, and the platform evolved to focus on results. You can integrate your Google Analytics, Facebook Pixel, and AdWords conversion tag to track results and measure your campaign. You can also integrate with Zapier, which opens a lot of possibilities. Compared with static landing pages, we have seen an increase in conversions and more engagement.
Leonardo Wolff
Founder
“Very professional and cooperative”
Building an automated chat that our customers actually used and reduced calls amount.
Maryam Alhaddad
Customer Journey Designer
Vodafone
“Flexibility and good service”
Tars platform is very flexible, so you can do pretty much any flux you desire. Also integrates with any third party through APIs with a very simple and easy-to-use interface. Also tars team is great! Always at disposal and brings suggestions and solutions for any issue encountered during the process of building the chatbot.
Lucas Von Lachmann
Process Manager
“The AI agent implementation has exceeded expectations!”
The implementation has delivered 24/7 customer support and is proving its value by reducing Contact center calls by around 5% in just four months of operation. Beyond enhancing the e-care experience, the AI agent is driving impressive business results, achieving a remarkable 20% month-on-month growth.
Victor Pereira
Customer Care and CX Manager

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