Healthcare

Inquiries arrive in volume, and every one of them carries the question of who may see it. Today your specialists answer both by hand.

A nurse types at a wall-mounted workstation in a clinic corridor at night while a doctor beside her holds a tablet in a green cover and looks at her screen.
We build solutions for you

Start reaching your full potential, shaped by what you actually need.

01

A data model that separates professional from patient communication

Purpose, consent and deletion period belong in the record. We design it so the separation holds inside the system and not in a policy standing beside it.

answered in Plan

02

A request desk with a traceable status

Every inquiry gets an owner and a status, both provable later. Shared inboxes stop being a working tool.

answered in Build

03

Permissions and evidence kept audit-ready

Permissions are reviewed and documented on a schedule. The next audit then begins with a list and not with a search.

answered in Operate

04

Deletion periods that run by themselves

What exists on paper today is enforced by the system and logged as it happens. The period is then kept, and the log proves it.

answered in Automate
your tailored solution

How we get from a first conversation to a plan that is yours.

It starts with a conversation, and none of it is technical: what you sell, who decides on it, where the week goes. Then we look at how the work runs in your field.

The same questions arrive every day: appointments, payers, how something is used. They tie up the specialists you keep for the hard cases.

Patient data is the most sensitive thing you hold. Who may see what has to be settled before anything is built, because settling it later means building twice.

What you may say to a doctor is not what you may say to a patient. A system that cannot tell them apart will eventually send the wrong message.

From there it gets concrete. NATIVE scores where you stand across six dimensions, and the weakest one decides what gets built first: one phase of the Agentic Growth Stack, with a scope, a result and a date.

If this is you

If you relate, then a workshop is where to start.

  1. Inquiries sit in shared inboxes and nobody can name a status.
  2. Professionals and patients are the same audience in your system.
  3. Deletion periods exist in the processing record and nowhere else.
  4. Permissions have grown over years and an audit has been announced.
  5. AI is supposed to relieve the load and nobody wants to be accountable for the processing.
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Agent demo

This could be your agent.

An agent built for healthcare, running a case your team knows well. Whether you need a fast answer to a referring practice, the certainty that only the right roles see the case, or every access logged; the agent takes care of all of that. This is an example, not a finished product. It shows the shape of the agent we build with you: your process, your data, one task that costs you time today, handled automatically from then on.

Take the first step into agent-native
Explore our services

Four phases, each with a clear diagnosis.

Plan, Build, Operate, Automate. NATIVE scores where you stand today and points at the one to start in.

Plan

agent-ready · Vision → Roadmap

The target picture, the business case and the order of the build, agreed with the people who will have to work with it.

Explore Plan Services
A workshop lead points at clusters of sticky notes on a glass wall while two colleagues follow.

Build

AI-engineered · Chaos → Structure

The platform itself: CRM, the custom software around it and the data flows that keep the two saying the same thing.

Explore Build Services
Two colleagues seen from behind at a shared desk, one pointing from his code editor at the design on her screen.

Operate

AI-driven · Adoption → Performance

Rollout, training and security carried far enough that your team reaches for the platform without being asked.

Explore Operate Services
An analyst in a green chair watches two monitors and a laptop with clean dashboards in the evening.

Automate

autonomous · Manual → Autonomous

The recurring work handed to agents, with rules for who may do what and a log that proves it happened.

Explore Automate Services
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FAQ

Frequently asked questions: Healthcare

Can AI be used in healthcare in line with data protection?

Yes, with preparation. The processing needs a named legal basis, and what an agent may see and do is settled beforehand. We work that out in the AI Operating Model and enforce it technically in Agent Governance & Oversight.

How do you handle health data?

As sparingly as possible. Processes that can work without special categories are built that way. Where they cannot, tighter permissions, shorter periods and complete logs apply.

Where is the data processed?

As a rule in the EU. Which services are involved and where they process is settled before the project starts, together with the data processing agreements.

Who is at the table for the first step?

Data protection and compliance from day one. The target picture, prioritised use cases and business case are developed together with them, so nothing has to go back for sign-off afterwards.

Let’s work together

The first step towards an agent-native company.

In the NATIVE Assessment we develop a clear target picture and a business case that holds up, in four to eight weeks. Fixed price, no open-ended day rates.

David Schuh, CEO of Thorit
Rather talk first?
We get back to you personally.
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