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AI in a medical clinic: the scope of the first trial

Short answer

A first AI pilot in a medical clinic is best built on organisational work with no patient data, for example drafts of instructions and patient notices checked against the current source. A project on medical records needs a separate legal and technical assessment with the data protection officer. At Syntalith an app costs from €3,000 net, and at 150 notices a month of 20 minutes each it pays back in 2.5 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Clinics and AI: statistics 2026

2.5 mo.

payback of a €3,000 app at 150 organisational notices a month: €1,745 of work today, €526 with checking and the model. Scenario.

Figures checked: 22 October 2026

The weekly schedule and a later closure notice

Reception prepares a notice about the clinic's opening hours. It has the weekly schedule and a later notice that the clinic will close for one day. A draft based only on the schedule will give the wrong hours. The owner of the information points out the exception that applies before the text reaches patients.

The pilot covers organisational content. Assessing symptoms, the urgency of care, diagnosis and treatment stay outside its scope and need a separate analysis of the intended purpose and the requirements. If the materials contain conflicting versions of instructions, first name the version that applies and its owner, because the model should not decide which text is current by how fluent it reads.

A pilot with no patient data
  1. 01Taskone notice or instruction the staff often correct
  2. 02Sourcesapproved procedures with a version and an owner
  3. 03DraftAI prepares the text from the current source
  4. 04Checkthe manager compares the draft with the procedure
  5. 05Sign-offrefusing answers outside the scope, and a way back to the old work
Before a pilot touches medical records
  • Roles and legal bases for processing agreed with the DPO
  • A decision on a data protection impact assessment
  • Staff permissions, backups, logs and service access
  • Removing the name does not make the data anonymous

What it costs and when it pays back

Scenario: 150 organisational notices a month
Today
150 organisational notices × 20 min = 50.0 h (€1,745)
With the system, a person checks the output in 30% of the time
€524
Model, 1 call per case, Claude Sonnet 5.5
€2
Cost of one case
€11.63 today, €3.51 with the system
Saving
€1,219 a month

Payback of €3,000

2.5 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 4,000 input tokens and 600 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around a case: searching, reading, writing and passing it on. What remains is the time to check the result, 30% of today's work in the scenario. Before the quote we time both on 20 to 100 cases the team has already handled, in a €0 test that takes 5 working days.

The scenario covers 150 organisational notices and instructions a month, where the manager compares the draft with the approved procedure. The trial includes no patient data and no clinical decisions.

A local server does not end the data assessment

A rare diagnosis with a date and a place may allow a person to be identified even without a name, so at the planning stage it is better to use invented data. Poland's data protection authority UODO lists, among the triggers for an impact assessment, large-scale processing of special categories of data (UODO on impact assessments). A local server still needs agreed permissions, backups, logs and service access. The review of the GDPR and DPAs helps prepare the questions for the assessment, and assessing the draft text itself is covered in the guide to choosing AI for doctors.

Training, sorting out sources or an app
  • Staff do not know how to check a draft

    team training

    from €1,150 a day

  • Conflicting versions of instructions

    sorting out sources with their owners

    part of the process audit

  • Recurring notices from many procedures

    an app on approved sources

    from €3,000

Where to start

The first step is a technical review of one process: the sources, the access and the way results are checked, with no legal opinion. The clinic names the owner of the document and the person who approves the pilot. We discuss the scope of AI in healthcare on a description of the task, without sending any patient records. We build such a rollout as part of AI apps. For the free analysis, a description of one case from recent weeks and of the tools it ran through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: a clinic's organisational work

We run the same count for your clinic in the free analysis.

€3,490

a month for handling 1,500 confirmations and appointment changes by hand

Payback: 1 mo.

4 minutes per confirmation, reminder or rescheduling and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 2,000 + 300 tokens per change, at the ECB rate of 1.1205 USD per euro on 22 October 2026. Recovered visits are a scenario: we assume 1 in 30 handled changes frees a slot early, the front desk fills it from the waiting list and a visit is worth €34. In the review we count it on your price list.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

Start with the process that takes the most time each week.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 21, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

AI implementation

Start with the process that takes the most time each week.

The engineer chooses one process with you and calculates how much it costs today. Then we build a free prototype on 20-100 cases that your team has already handled. We write down the goal and the fixed price in the contract.

See AI implementation →
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

Questions

  • Where should a medical clinic start with AI?

    With organisational work that involves no patient data, such as drafts of notices and instructions checked against the current procedure. A project on medical records needs a legal and technical assessment with the data protection officer before it starts.

  • Is removing the name enough to anonymise data?

    No. A rare diagnosis combined with a date and a place may still allow identification. For planning a pilot it is better to use invented data.

  • How much does such an app cost?

    At Syntalith from €3,000 net. At 150 organisational notices a month of 20 minutes each, the payback is 2.5 months. We agree integrations and maintenance before the quote, and the model costs €2 a month.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.