Automate the tracking around care. Never the medical decision.

Clinical staff lose hours to spreadsheets, phone tag and paperwork that is not medicine. We automate that layer, and every clinical judgment stays with a clinician. The line is drawn in the design, not left to policy.

Patient tracking lives in disconnected sheets

Follow-up dates, device checks and referrals sit in separate spreadsheets. Someone has to notice a due date before it passes.

Inquiries leak between first contact and booking

Messages arrive by phone, form, chat and messaging apps, in several languages. Slow replies lose the patient before anyone has assessed the request.

Paperwork is typed twice

Referral letters, reports and insurer forms are read by a person and retyped into the record system.

Staff are the only system of record

Knowledge of which patient needs what lives in one coordinator's head, which is a risk on any holiday.

6 workflows we build for healthcare teams

Every workflow below is administrative or logistical. Where clinical information appears, the system moves or organizes it and never interprets it.

Workflow 1

Follow-up tracking and reminders

Workflow 2

Patient inquiry triage and follow-up

Workflow 3

Referral and document intake

Workflow 4

Appointment scheduling and no-show handling

Workflow 5

Practice operations dashboard

Workflow 6

Patient information chatbot with handoff

What we have shipped that looks like this

These are results from work that uses the same pattern. Most clients are described rather than named.

A cardiology practice

Around 120 patients with implantable heart monitors were tracked across several spreadsheets. We centralized the practice in one operational cockpit and automated the tracking and follow-up, without automating the medical decision itself. A bilingual patient chatbot went into production alongside it.

A healthcare group in dental tourism

Patient inquiries came in from several countries and languages and fell through the cracks before booking. Every inquiry is now scored and followed up in the right language, and the journey from inquiry to treatment is tracked in one place.

A medtech company

We mapped 47 AI opportunities across the business before building anything, then narrowed them to 16 deployed, role-specific skills.

What the first 30 days look like

One workflow, one owner, a person checking the important decisions. We expand only after the first workflow has a track record.

• Week 1Draw the clinical line firstBefore any build, we write down which steps are administrative and which are clinical. The clinical ones are excluded. A clinician signs off that list.

Week 1

Draw the clinical line first

Before any build, we write down which steps are administrative and which are clinical. The clinical ones are excluded. A clinician signs off that list.

• Week 2Map systems, access and data handlingWe identify where records live, what the workflow may read, and the privacy rules that apply in your country. We start on synthetic or de-identified samples.

Week 2

Map systems, access and data handling

We identify where records live, what the workflow may read, and the privacy rules that apply in your country. We start on synthetic or de-identified samples.

• Weeks 3 and 4Build one workflow with staff checkingUsually follow-up tracking or inquiry handling. Coordinators review every automated action while we watch how it fails.

Weeks 3 and 4

Build one workflow with staff checking

Usually follow-up tracking or inquiry handling. Coordinators review every automated action while we watch how it fails.

• Day 30Handoff and review with the clinicianStaff run the workflow. The clinician reviews the rules and the exception log, and you decide whether to add a second workflow.

Day 30

Handoff and review with the clinician

Staff run the workflow. The clinician reviews the rules and the exception log, and you decide whether to add a second workflow.

What should stay human

This is the most important section on this page. In healthcare, the boundary is the product.

Diagnosis, triage of symptoms and treatment choices

We do not build systems that decide any of these. Messages that describe symptoms are routed to a person, not answered by the system.

Interpreting results

Documents are filed and matched to the right patient. Lab values and clinical findings are shown to clinicians as they are, not interpreted by us.

Changing a follow-up interval

The clinician sets the rules. The system applies them and reports when a rule seems out of date. It does not change a rule on its own.

Compliance sign-off

We design to your privacy regime and log every action, but we do not claim a certification we do not hold. Your compliance lead approves the data handling design.

Related services

Custom workflow automation

Multi-step workflows across your CRM, inbox, storage and ERP.

AI chatbot development

Chat and messaging agents with human handoff.

AI agent development

Agents that read, decide inside limits and hand off to a person.

Automation maintenance and support

Monitoring, fixes and updates after launch.

Common questions

Will AI make medical decisions?

What happens if a patient describes symptoms in a message?

Where does patient data go?

Can you connect to our patient record system?

Do you work with small practices?

What does it cost?

Which admin task is pulling your team away from patients?

Tell us where tracking, follow-up or paperwork slows the practice. We agree the clinical line first, then scope one workflow.

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