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IT teams · Rollout scenario · Updated

AI Act in IT: system changes and the company's role

We check which AI systems you build and use, what role the company has in each, and which change needs a new assessment.

AI Act and GDPR audit, paid once
from €700 net
  • Review and written summary: €0
  • Audit in 5 working days

How much does an AI Act audit for an IT team cost?

Short answer

An AI Act audit for an IT team costs from €700 net. It is ready in 5 working days. In our scenario, reviewing the AI systems yourself takes 130 h of work by IT, the data protection officer and a manager. That review costs €4,537. A lawyer assesses the company's role and obligations. Buying a ready-made model does not settle the role for every application.

Statistics

AI Act and IT teams: statistics 2026

Figures checked: 22 October 2026

Cost today · Scenario

What doing it yourself costs

€4,537

one-off, to review the AI systems yourself: 130 h of work by IT, the data protection officer and a manager

Difference: up to €3,837

In your company

  • Team of 5, 3 systems

    60 h of work · €2,094 one-off

    from €700 with the audit

  • Department of 20, 6 systems

    130 h of work · €4,537 one-off

    from €700 with the audit

  • Software house, 12 systems

    260 h of work · €9,074 one-off

    from €700 with the audit

From 28 October 2026, compliance with the AI Act in Poland may be supervised by the Commission for the Development and Safety of Artificial Intelligence (KRiBSI). Under art. 99 of the AI Act, breaching obligations, including transparency, can cost a fine of up to €15 million or 3% of annual turnover, and for small and medium-sized companies the lower of the two.

Source: AI Act, Regulation (EU) 2024/1689, art. 99 (2024) ↗

How we calculate it

On your own: inventory of tools and accounts 32 h, settings of each tool 32 h, processing agreements and data 22 h, map of AI Act obligations 26 h, AI policy and training plan 17 h. In total 130 h × €34.90 = €4,537. The audit: from €700 net in 5 working days. The difference: up to €3,837, plus the time you would spend learning the rules.

Assumptions: 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.

Book a free process review (30 min)

We will calculate it on your tools.

How it works

What changes after the audit

Today

  1. The team builds an app on a model API

    Team

  2. It changes the system's purpose

    Team

  3. Nobody checks the company's role

    Team

  4. Documentation falls behind the versions

    Team

  5. A client asks about compliance

    Client

With the system

  1. Review of systems and roles

    Person

  2. Register of versions and purposes

    System

  3. Changes that need a new assessment

    AI

  4. The owner approves

    Person

  5. A review at every release

    Team

What stays with people: A lawyer assesses the company's role and obligations. Buying a ready-made model does not settle the role for every application.

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 →

Who already works this way

Our systems already work for clients

What this scope builds on

The AI system register we have already built

It organises a company's AI tools with owners, evidence and a list of gaps. A person approves the risk classification. On 14 test entries the scope matrix passed 9 of 9 checks. Demonstrator on test data.

See the AI Act and GDPR audit →

Client review

“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.”

Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.CareKuba KoziejCEO and co-founder, MoreGrowthView the original training review on LinkedIn ↗

How to start

How to start. The first two steps are free.

  1. 1 · 30 min

    Free review

    €0

    An engineer works out with you which AI tools you use and on which accounts.

  2. 2 · 2 working days

    Written summary

    €0

    The audit scope and a fixed price, before you sign the contract.

  3. 3 · 5 working days

    Audit

    from €700

    Tools, settings, contracts, data, permissions and AI Act obligations. If you then order a system build, we credit the audit fee toward it.

Book a free process review (30 min)

or call+48 888 78 48 78WhatsAppMon–Fri 9:00–17:00 CET

You will see the slots in your time zone.

Included in the build

  • Register of AI tools with an owner and the scope of data
  • List of settings changes for the administrator
  • AI policy based on our template
  • Training plan for art. 4 of the AI Act
  • Map of AI Act obligations with deadlines

What happens to your data

  • The audit prepares the facts and the settings. Your data protection officer or lawyer approves the legal assessment.
  • Where personal data is involved, we sign a data processing agreement first.
  • Your lawyer provides the legal opinion and represents you before the authority. We hand them the full set of materials.

After the audit you keep the register of AI tools, the list of settings changes, the AI policy, the training plan and the list of questions for your data protection officer. Team training on art. 4 of the AI Act: from €1,150 net a day.

Questions

  • How much does the AI Act and GDPR audit cost?

    From €700 net, paid once, within 5 working days of receiving access. The price depends on the number of tools, accounts and departments; we give the fixed price after the free review. Team training on art. 4 of the AI Act costs from €1,150 net a day.

  • If we build on a model API, are we a provider?

    That depends on the system's purpose and on who places it on the market. The audit records the facts about each system, and your lawyer assesses the role.

  • When does it not pay off?

    When the team uses one AI tool on company accounts and already has an AI policy. Then our free AI policy template and a settings review by your administrator are enough.

  • What do we need to prepare?

    A list of systems with AI, their purposes, the model vendors and the person who approves releases.

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.