Addiction Treatment Industry

More admits from the demand you already pay for. Including the people who reach out at 2am.

Tars AI Agents run the admissions conversations that fill your census. Answer cost and coverage questions, screen for the right level of care, capture what your VOB needs, and hold a time with your admissions team, on web, WhatsApp, SMS, and email. Crisis steps run as a deterministic protocol, and a person takes over the moment one is needed.

Chosen by 800+ global brands across industries
Brightline

The outcomes teams like yours see with Tars

24/7
Inquiries answered the moment they arrive, nights and weekends included
First response
A real answer while the person is still in the conversation
Every channel
Web, WhatsApp, SMS, and email, one conversation per person
Attributed
Every inquiry lands in your CRM with the campaign that produced it

Purpose-built AI agents for addiction treatment

Convert

Turn the traffic your ads already buy into screened, insurance-captured admissions inquiries.

Respond the moment someone reaches out, at any hour

Someone searching "rehab near me" at 1am is at the highest intent they will ever be. Right now they meet a form or an answering service that takes a message. Operators say it every time: the leads that go unanswered are the weekend ones. The Lead Response Management study puts a five-minute first response at roughly nine times the conversion of waiting longer.

The agent picks up instantly on your website, WhatsApp, SMS, or email. It recognizes whether it is talking to the person seeking treatment, a family member, or a referring professional, and runs the right path.

The inquiries you already paid to generate stop dying between 6pm Friday and 9am Monday.

Pre-screen and point each inquiry at the right level of care

Operators say it on almost every call: until we know someone is a fit, the admissions team should not be spending time on them. Detox, residential, PHP, IOP, and outpatient are not interchangeable, and a mismatched inquiry burns capacity an admissible case needs.

Your intake questions run as a deterministic flow the agent invokes, in your order, nothing improvised: substances and last use, prior treatment, co-occurring conditions, and who is paying. The agent applies your routing rules to suggest which program to evaluate. It does not diagnose, does not recommend treatment, and does not tell anyone what care they need.

Your admissions team keeps every care decision and gets it with the screening already done.

Capture everything your VOB needs inside the conversation

"Will my insurance cover this" is the question that decides whether an inquiry becomes an admit, and it is usually answered a day later by someone else. The agent asks for the carrier, plan, member ID, group number, and the level of care being considered, right there in the conversation.

It hands that packet to your verification team with everything they need to run benefits, and writes it into the record so nobody re-asks. The agent never quotes a benefit determination and never promises coverage.

Your team opens the day with complete verification requests instead of chasing member IDs, and the VOB starts hours earlier.

Land a structured, attributed inquiry in your EMR and CRM

Every conversation ends as a real record: the screening answers, the level of care under consideration, the desired admit date, the insurance packet, and the channel and campaign that produced it.

The agent writes that into your admissions CRM and EMR by API and webhook, scoped to your stack, puts lead temperature into a real reportable field rather than a free-text note, and alerts the coordinator on duty when the intent is hot.

Marketing can defend the spend with admits by source, and admissions can check bed availability against a request that is already complete.

Platform

Before you put an agent in front of a family on the worst day of their year, you need to know exactly what it will do.

Keep the agent inside the answers your team approved

The first thing an operator does in a demo is try to break it. Name a clinician who does not exist. The fear is precise: that the agent says something your compliance reviewer never approved.

It answers from your programs, policies, and locations, and nothing else. Outside that scope it declines and hands off. It does not diagnose, recommend treatment, or promise outcomes or coverage, which is what your LegitScript and paid-search reviewers look for.

Crisis handling is not left to the model. You define the triggers, the exact wording, the 988 instructions, and the escalation path, and the agent runs that flow as a deterministic tool, identically every time.

Hold a time with your admissions team inside the conversation

The conversion event is not a chat transcript. It is your admissions team on a call with someone who is ready. Every step in between leaks: a link to a scheduling page, a callback request, a form.

The agent holds the time inside the conversation. It reads live availability from your team's own Google Calendar or Outlook Calendar, distributes across coordinators by round robin, least busy, or priority order, and honors your buffers and working hours.

It qualifies while it schedules, carrying forward anything the person already said. When the time is set, a real calendar invite and a confirmation email go out, and the coordinator gets a notification with the whole conversation attached.

See which campaigns actually produce admits

Marketing leaders are asked to defend six-figure paid budgets with call counts. The questions they cannot answer are the ones that matter: which campaign produced inquiries that reached an assessment, and where the agent came up empty.

One analytics home answers those. Conversion funnels from visitors through conversations to completed goals. Top lead sources by UTM source, campaign, and landing page, each with a conversion rate. Every number is clickable down to the conversation behind it.

A goal counts only when its trigger genuinely succeeded, so a completion means the record really landed in your CRM. Ranked issues point at where the agent had no answer. Export any view to CSV for the board deck.

Test the agent against real inquiry language before a real family sees it

Nobody in this industry launches something patient-facing on hope. There is always an internal round first: marketing pokes at it, clinical blesses it, legal wants the worst case. A handful of manual test chats prove almost nothing.

Before launch, Tars runs simulated people against your actual agent. Personas and goals drive multi-turn conversations, generated from your own content and real inquiry transcripts, including crisis language. Every transcript is scored two ways: deterministic code checks, and LLM-judge evaluators that assess whether the question was answered and the right tools were called.

You set the quality threshold the agent has to clear, and deploy once the scores meet it. After launch, real conversations feed the same loop.

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

How do you stop the agent from saying something it shouldn't?

Scope is set before launch and enforced at every layer. The agent answers from content your team approved and nothing else, and declines and hands off when a question falls outside it. It is operational, never clinical: no diagnosis, no treatment recommendations, no outcome or success-rate claims, no coverage guarantees. You choose which pages and documents it may learn from, and you can remove any of them. Adherence to those limits is one of the things we measure in testing before launch, so it is a result you can see rather than a promise.

What happens if someone in crisis reaches the agent?

Your crisis protocol runs as a deterministic flow. You define the triggers, the exact wording, the 988 and emergency instructions, and the escalation path, and the agent runs it identically every time before anything else happens. A live person is pulled in immediately, on whatever channel the conversation started on. Nothing about this step is left to the model's judgment, and your clinical and legal reviewers read the protocol before launch.

How fast does a real inquiry actually reach my admissions team?

The agent answers instantly and works the conversation itself, so the person is engaged from the first second. When intent is hot, the coordinator on duty is alerted with the full conversation attached rather than the inquiry joining a callback queue. Where a scheduled call is the right next step, the agent holds a time on your team's real calendar inside the conversation and sends the invite. Your team's first contact is with someone already screened, already captured, and already expecting them.

What can we actually see about what is working?

One analytics home for the whole funnel: visitors through conversations to completed goals, top lead sources by UTM source, campaign, and landing page with a conversion rate on each, and which details your agent asks for versus actually captures. Every number is clickable down to the individual conversation behind it, every trend compares to the previous period, and every metric shows its own formula in plain language. A goal counts only when its trigger genuinely succeeded, so a completion means the record really landed. Export anything to CSV.

Does it write into our EMR and admissions CRM?

Yes. Screening answers, insurance details, desired admit dates, lead temperature, and campaign source land in the record instead of a coordinator's notepad, in real fields your team can report on rather than a free-text note. Salesforce and HubSpot are proven; other systems connect by API and webhook, scoped per account. Tell us your stack on a call and we will confirm the exact connection for each system.

How is Tars priced, and how do we justify it against a $500 a month AI receptionist?

Pricing is by conversation rather than per location, so it scales with inquiry volume rather than with how many facilities you open. The comparison that matters is cost per admission, not seat count, so the question is how many additional admits the front line has to produce to pay for itself. We will build that math with your own inquiry volume, admit rate, and average length of stay on the call.

We were going to add a chat widget, or build this ourselves. Why Tars?

A chat box and a model is the visible 20%. The 80% underneath is what 8+ years of enterprise conversational AI buys you: deterministic flows for screening, consent, and crisis handling, evaluation that measures accuracy before a person in crisis sees it, one conversation that follows someone across web, WhatsApp, SMS, and email, human takeover in the same thread, audit trails, scheduling on your team's real calendars, and the writes into your EMR and CRM. You deploy in weeks, not across three quarters of internal roadmap.

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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