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Company Brain for healthcare administration

Short answer

An AI knowledge base at a medical front desk finds the approved administrative instruction for an unusual patient question, for example moving one visit in a series, and points to the contact in the planning team. An AI application on company documents costs from €3,000 net at Syntalith. At 400 front-desk questions a month and 6 minutes of searching 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
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

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

Front desk knowledge and AI: statistics 2026

2.5 mo.

payback of €3,000 at 400 front-desk questions a month: €1,396 of work today, €215 with checking and the model. Scenario.

Figures checked: 22 October 2026

Moving one visit in a series

A patient wants to move one visit in a planned series. The approved instruction allows single visits to be changed through the normal booking path, but for a coordinated series it requires contact with the planning team, so that the linked dates are considered together. A new person at the front desk finds the general instruction for changing a date and does not know about the exception.

The assistant's scope at the front desk
  • Only approved administrative instructions
  • An answer with its source and the clinic's location
  • No access to patients' medical records
  • The front desk changes the schedule in its own system

If the front desk does not know whether a visit belongs to a series, it first checks with the patient or in the schedule. In a network of clinics, the employee also sees which location a document concerns, because the contact in one clinic's instruction may lead to a different team from the one at the clinic the patient is calling.

What it costs and when it pays back

Scenario: 400 front-desk questions a month
Today
400 front-desk questions × 6 min = 40 h (€1,396)
With the system, a person checks the result in 15% of the time
€209
Model, 1 call per case, Claude Sonnet 5.5
€6
Cost of one case
€3.49 today, €0.54 with the system
Saving
€1,181 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: 6,000 input tokens and 500 output tokens per call at Anthropic's rates, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The model is a small item here. The result depends on the time that searching and asking around take today, and on how much of it remains for checking the answer. At the front desk the question comes up during a call with a patient, so we also count calls where the employee had to call back after checking the instruction with a colleague.

Before we price the build, we run a test on 20 to 100 questions the team has already asked: we compare the application's answer with what the employee found by hand, and we count the time from the question to the source. The test takes 5 working days and costs €0.

First check the information given at booking

If the visit confirmation clearly explains how to change the date and whom to contact, the front desk only needs easy access to that description. As a general example of self-service, Microsoft Shared Bookings describes managing a booking from the confirmation. Finding an instruction is a different task from changing the schedule: the assistant gives the explanation and the source, and the front desk and planning work in their own tools.

A description, a library or an assistant
  • The visit confirmation explains the change

    a clear description at booking

    no application

  • Instructions in one place, easy to find

    an ordered library

    no application

  • Unusual questions across several instructions and clinics

    an assistant on approved instructions

    from €3,000

Where to start

The first scope is the administrative instructions that new front-desk staff most often ask colleagues about. The front desk manager names the current documents and judges whether the explanations are right. The clinic scope is described in AI in healthcare.

For the first call, one question that keeps coming back to colleagues and where the team looks for the answer are enough. You do not need to send confidential documents, and you receive the written plan within 2 working days.

Worked example · Scenario

How we count the payback: answers from company documents

We run the same count for your documents in the free review.

€3,723

a month for finding answers to 800 questions in documents

Payback: 1 mo.

Our assumptions are 8 minutes to find an answer in documents or ask a colleague, and checking in 15% of the old time. €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 6,000 + 500 tokens per answer from documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

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 ↗

When an off-the-shelf tool does not fit, we build your own.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 25, 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 →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • How does AI help a medical front desk?

    It finds the approved instruction for an unusual patient question, for example moving a visit in a series, and points to the contact. A new person does not have to ask colleagues during the call.

  • Does the assistant see patient data?

    No. It works on approved administrative instructions, and the schedule and medical records stay in the clinic's systems.

  • How much does such an AI knowledge base cost?

    At Syntalith, an AI application on documents costs from €3,000 net, typically up to €7,000. At 400 front-desk questions a month and 6 minutes each, the payback is 2.5 months. We price maintenance individually.

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
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
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.