---
title: "Arbol AI — AI agents for clinics, practices and health systems"
description: "Arbol AI finds the patients who can’t wait, reaches them by phone, text or web chat, and books their visits 24/7 on the scheduling system you already use."
url: https://www.getarbol.com/en/
lang: en
alternates:
  es: https://www.getarbol.com/
---

# Your whole population. Every patient, on time.

Arbol finds the patients in your value-based and capitated contracts who can’t wait, reaches them by phone, text or web chat, and keeps the proof of every visit.

[Book a demo](https://cal.com/tomas-giraldo-pdfbl9/30-min-arbol-ai-demo)

Critical · priority 1 Example

## Martha R., 61

Diabetes Hypertension

- HbA1c

  10.2%

- Last visit

  7 months ago

Next step: we call her today.

1. Roots Your data, brought together into one person.
2. Branches Every patient in their cohort, on your team’s criteria.
3. Leaves First, whoever can’t wait.
4. One person Followed all the way to their visit.

Trusted by

- ![Centro Neurológico del Norte](https://www.getarbol.com/images/papel/logos/centro-neurologico-del-norte.png)
- ![Somos Salud IPS Integral](https://www.getarbol.com/images/papel/logos/somos-salud.png)
- ![Orso Visión Ópticas](https://www.getarbol.com/images/papel/logos/orso-vision.png)
- ![Promover](https://www.getarbol.com/images/papel/logos/promover.png)
- ![Tu Oído IPS](https://www.getarbol.com/images/papel/logos/tu-oido.png)

[**+777** integrations](https://www.getarbol.com/en/integrations/)

Why the critical go first

## Finding them in time changes the math.

Five people in a hundred account for half of all U.S. health care spending, and three in four of the adults among them live with two or more conditions like high blood pressure, diabetes or heart disease. In a value-based contract, finding them late is what costs the most.

[AHRQ, Medical Expenditure Panel Survey, 2022 data (Statistical Brief #560, 2025).](https://meps.ahrq.gov/data_files/publications/st560/stat560.shtml)

**95** people · 50.3% **5** people · 49.7%

The platform

## Four jobs your team does by hand today. One platform.

Use all of it, or start with scheduling.

1. Leadership

   ### How is the contract doing?

   487 care gaps left to hit the goal.

   76% of what the contract measures is already documented. What’s missing, measure by measure and site by site.

2. Physicians

   ### What does this patient still need?

   Three gaps. One visit.

   Before the patient walks in, the physician sees what the contract calls for: a blood pressure follow-up, an HbA1c and a kidney screening. All three get done in the same visit.

3. Front desk

   ### How many calls did we miss last night?

   None.

   Arbol answers the phone, texts and web chat 24/7, in your organization’s name, and logs how every conversation ended.

4. Scheduling

   ### Is Thursday full?

   Yes. And the slot that opened up already has a patient.

   On the scheduling system you already use: it books, confirms, reschedules and re-offers every open slot, in order.

Patient contact

## One conversation. Every channel.

Martha’s full cycle, from the critical list to a completed visit, on the record.

- It speaks in your organization’s name.

  It introduces itself as your organization’s virtual assistant, in the tone and during the hours your team approves.

- If they ask for a person, it hands off to your team.

  With a summary and the details already verified. Nobody has to tell their story twice.

- It never gives medical advice.

  It books, confirms and informs. At any warning sign, it ends the conversation and escalates.

A confirmed appointment *is not* a completed visit.

1. Tue 9:14 a.m. Call

   Northside Health’s virtual assistant calls Martha. She’s at work and asks for a text.

   Recorded and transcribed

2. 9:16 a.m. Text

   The conversation picks up by text, without starting over: Thursday, 7:30 a.m., North office.

   Booked in the practice’s schedule

3. Wed 8:41 p.m. Web chat

   Martha moves it to 9:00. The slot she freed up is offered, in order, to the next patient.

   Rescheduled · the 7:30 slot went to Lisa

EHR · Visit note

Martha R., 61

Diabetes follow-up · Thu 9/25, 9:24 a.m.

Visit completed

Martha’s cycle, as Arbol keeps it on record Example data

## Built by physicians and administrators, for physicians.

That’s why it arrives without an IT project: it runs on what you already use, and your team approves how it speaks before it answers the first call.

## Let’s look at your population in Arbol.

A 30-minute demo with our team: your contracts, your cohorts and your channels.

[Book a demo](https://cal.com/tomas-giraldo-pdfbl9/30-min-arbol-ai-demo) [Or talk to our team](https://www.getarbol.com/en/contact/)

Built to **HIPAA** standards · A signed BAA before any patient data

---

**Arbol AI** — AI agents for clinics and healthcare providers: they answer and reach patients by phone, WhatsApp, SMS, email and web chat, book their appointments 24/7 and keep a record of every conversation.

- Original page: <https://www.getarbol.com/en/>
- Book a demo: <https://www.getarbol.com/en/contact/> · Pricing: <https://www.getarbol.com/en/pricing.md>
- Agent index: <https://www.getarbol.com/llms.txt> · Support: <support@getarbol.com>
