Skip to content

Blog · Published · Updated

AI chatbot disclosure: what Article 50 of the AI Act requires

Short answer

A person starting a conversation with a chatbot has to know they are dealing with AI, at the latest at the first interaction. The transparency obligations of Article 50 of the AI Act apply and are enforced from 2 August 2026. The notice has to be visible everywhere the chatbot opens, and a handover of the conversation to an employee has to be clear.

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 in customer service: statistics 2026

2 Aug 2026

from this date the European Commission enforces the transparency obligations of Article 50 of the AI Act, including telling people they are talking to AI. High-risk systems under Annex III follow from 2 December 2027.

  • 2 August 2026

    According to the European Commission (2026), the transparency obligations of Article 50 of the AI Act apply and are enforced from 2 August 2026, and providers of systems placed on the market earlier have until 2 December 2026 to mark content under Article 50(2).

    Source: European Commission, AI Act Service Desk (2026) ↗

  • 2 December 2027

    According to the European Commission (2026), the rules on high-risk systems in Annex III of the AI Act apply from 2 December 2027, and those on systems built into regulated products from 2 August 2028.

    Source: European Commission, AI Act Service Desk (2026) ↗

  • 47%

    According to the European Commission (2026), customer service is the most common use of AI among EU SMEs and mid-caps that already use it: 47%.

    Source: European Commission, Flash Eurobarometer 578 (2026) ↗

  • 52.5%

    According to Eurostat (2025), 52.5% of EU enterprises that considered AI but did not use it named a lack of clarity about the legal consequences.

    Source: Eurostat, use of AI in enterprises (2025) ↗

Figures checked: 22 October 2026

What Article 50 of the AI Act says exactly

Paragraph 1 of Article 50 of the AI Act concerns systems intended to interact directly with people: the provider designs them so that a person knows they are talking to AI, unless this is obvious from the circumstances. Paragraph 5 requires this information to be given in a clear and distinguishable way, at the latest at the first interaction. The European Commission states that the transparency obligations apply and are enforced from 2 August 2026. Whether a company is a provider or a deployer is for a lawyer to judge and depends on the specific solution.

What an AI chatbot disclosure can look like

A proposal for a simple company chat: „You are talking to an AI assistant. You can ask to be put in touch with our team”. Use the second sentence only if the handover to a person really works. First check what the user sees when the window opens: a notice that disappears after a second, sits outside the visible area or appears only in the terms of use does not do its job.

The home page shows an AI label, but the same plugin opens without a header in the complaints form. Checking only the home page will not catch that.

Acceptance tests for the interface
  • New conversation: the notice is visible at the latest at the first interaction
  • Small screen and screen reader: the text is accessible and does not cover the chat field
  • Embedded on another page: the same notice and the same way to get in touch
  • Handover to an employee: the message matches who is really replying
  • Handover failure: an honest description of the situation and a working way to get in touch

A change of who is replying must be clear too

When an employee takes over the conversation, the interface shows the change. When an employee only approves an AI draft, the description of the service matches that role. Do not sign a model's answer with the name of an agent who did not write it.

A conversation from the first message to the handover
  1. 01Openingthe AI notice is visible before the first answer
  2. 02Conversationanswers from approved sources
  3. 03Handovera message that an employee is taking over
  4. 04Employeesees the conversation history and does not start from scratch

Who is responsible for what

Dividing the work on chatbot disclosure
  • Lawyer

    whether the company is a provider or a deployer, and which obligations follow

    assessment

  • Product team

    the wording of the notice, its place in the chat window, the handover message

    design

  • Plugin supplier

    visibility on every page and at every entry to the chat

    implementation

The most common mistake is a disclosure made once, on the home page, and forgotten in later embeds. The second trap is a „connecting you to an agent” message when the handover works only in business hours. Outside them the chatbot should say plainly when the team will reply and leave a way to get in touch that really works. The third trap is model answers signed with a name that suggests a person.

The label does not settle the quality of the answers

An AI label does not confirm that the bot reads the terms correctly, processes data properly or grants the customer the right entitlements. Article 50(6) keeps the other obligations from other laws, including the GDPR and consumer law. Before a build, check what your current plugin can do: if it lets you fix the notice and the handover, you do not need a new app.

An AI Act and GDPR audit at Syntalith 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. A review of the conversation, the sources of the answers and the handover points is also part of the AI process audit, from €600 net. For the free analysis, the address of the page with the chatbot and a description of when a person takes over the conversation are enough.

Worked example · Scenario

How we count the payback: an AI chatbot for your company

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

€2,327

a month for answering 1,000 customer questions

Payback: 1.5 mo.

4 minutes for an employee to answer a question 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 4,000 + 400 tokens per answer, 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 ↗

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

  • Does a chatbot have to say that it is AI?

    Yes. Article 50(1) of the AI Act requires that a person interacting directly with an AI system knows it, unless this is obvious from the circumstances. The obligation applies from 2 August 2026.

  • When do you have to show the AI notice?

    Under Article 50(5), at the latest at the first interaction, in a clear and distinguishable way. A notice hidden in the terms of use or one that disappears after a second does not meet this.

  • Who is responsible for marking the chatbot: the provider or the company?

    Article 50(1) concerns providers, who design the system. Whether a company that buys or modifies the tool is a provider or a deployer is decided for the specific solution.

  • How much does an AI Act review of a chatbot cost?

    An AI Act and GDPR audit at Syntalith 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.

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.