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AI usage register: how the workflow works

Short answer

An AI system register is a list of the systems in use, with an owner, the company's role, the risk status and the missing documentation. The register's rules run before the model, and a person approves the risk classification. The transparency obligations in Article 50 of the AI Act apply from 2 August 2026. At Syntalith the application costs from €3,000 net. At 40 register entries a month of 90 minutes each, it pays back in 2.0 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

The AI Act and AI registers: statistics 2026

2.0 mo.

payback of a €3,000 application at 40 register entries a month: €2,094 of work today, €630 with checking and the model. Scenario.

Figures checked: 22 October 2026

Who is responsible for this system and its documentation

A company needs a list of the AI systems in use, their owners and the missing material, so it can assign documentation work and see the open questions. You start with a real inventory: tools bought by departments, AI features in programs the company already has, and systems built to order. The scope of the obligations and the reading of the law need a review by the right specialists.

In our demonstrator, the register sorts systems, owners, evidence and gaps for six supported articles of the AI Act. Only requirements from the approved scope enter the register. The model prepares a draft justification and a list of gaps, but it cannot change the gate's rules. The process owner approves the risk status, the classification and the final entry.

A register entry
  1. 01Inventorysystem, vendor, department and owner
  2. 02Roleprovider or deployer, approved by a person
  3. 03Rulesrequirements from the approved scope, applied before the model
  4. 04Gapsa draft justification and a list of what is missing, from the model
  5. 05Decisionthe owner approves the risk status and the entry
DateWhat applies
2 August 2026the transparency obligations in Article 50 of the AI Act
2 December 2026marking of content under Article 50(2) for systems placed on the market earlier
2 December 2027high-risk systems in Annex III
2 August 2028high-risk systems built into regulated products

What it costs and when it pays back

Scenario: 40 register entries a month
Today
40 register entries × 90 min = 60 h (€2,094)
With the system, a person checks the output in 30% of the time
€628
Model, 2 calls per case, Claude Sonnet 5.5
€2
Cost of one case
€52.35 today, €15.75 with the system
Saving
€1,464 a month

Payback of €3,000

2.0 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: 8,000 input tokens and 1,000 output tokens per call at Anthropic's rates, 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 handing over. What remains is the time to check the result, 30% of today's work in the scenario. Before the quote, we measure both times on 20 to 100 cases the team has already handled, in a free test that takes 5 working days.

According to the European Commission (2026), 49% of EU SMEs and mid-caps name legal uncertainty as a barrier to AI. A register with owners comes before a policy: without an inventory, nobody knows what the policy has to cover. At Syntalith an AI audit for the AI Act and GDPR costs from €700 net and ends with a register of AI tools, a list of changes to settings and a training plan for the team. In the demonstrator, the recorded control run cost $0.087602.

What a register will not do

A register does not certify compliance and does not replace legal analysis. The six articles in the demonstrator do not represent the whole AI Act, and the legal position has to be refreshed after acts and guidelines change. A register organises the work: who is responsible for a system, what evidence already exists and what is missing. You test a register like any evaluation of a system with a model: OpenAI's evaluation best practices recommend task sets from real use and an evaluation at every change, including a change to the scope of the rules.

How to keep an AI register
  • A few AI tools in the company

    a spreadsheet with owners and dates

    audit from €700

  • Many systems and departments, evidence in different places

    a register application with rules before the model

    from €3,000

  • Systems built to order, agents in processes

    a register linked to checks on agents' actions

    priced after the analysis

Where to start

The first step is an inventory of systems with their owners. The scope of the register and of the checks on agents is described in the AI Act audit for companies. We build this kind of rollout as part of AI applications. For the free analysis, a description of one case from recent weeks and of the tools it passed 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: an AI register in a company

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

€4,188

one-off, to review the AI tools yourself: 120 h of work by IT, the data protection officer and a manager

Difference: up to €3,488

The hours and how they split for a company of this size 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. The audit price grows with the number of tools, accounts and departments; for larger companies we quote it after the free review.

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 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 →

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

  • Does a company have to keep a register of AI systems?

    The AI Act sets different obligations depending on the company's role and the system's risk. A register of the systems in use, with owners, is a practical way to assign those obligations and track them. A specialist assesses the scope of the obligations.

  • When do the AI Act rules apply?

    The transparency obligations in Article 50 apply from 2 August 2026, the rules for high-risk systems in Annex III from 2 December 2027, and those for systems in regulated products from 2 August 2028.

  • How much does such an application cost?

    At Syntalith from €3,000 net. At 40 register entries a month of 90 minutes each, the payback is 2.0 months. We agree integrations and maintenance before the quote, and the model costs about €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
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.