The outcomes teams like yours see with Tars
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.











.png)
%201.png)
%201.png)




















