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Introducing ChatGPT and OpenAI at work: where to start

Short answer

Start a ChatGPT rollout in a company with one team's tasks and the rules for working with data. When the work happens in the ChatGPT window, a Business workspace and training are enough. When the result has to reach a CRM or another system, you need an integration through the API. A rollout for a team of up to 10 people takes 2 weeks at Syntalith and costs from €1,150 net.

net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days

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

Author: Syntalith · 4 min read

Example: the morning request inbox
Agent · ready

Statistics

ChatGPT in EU companies: statistics 2026

2 wk.

is how long a ChatGPT rollout for a team of up to 10 people takes, from €1,150 net. We time the tasks before the start and after 30 days.

Figures checked: 22 October 2026

ChatGPT for the team or an integration through the API

Where to start
  • Employees analyse documents and prepare materials

    a ChatGPT Business workspace and training

    from €1,150

  • IT needs SCIM, encryption keys or data residency

    ChatGPT Enterprise

    from €4,600

  • The result has to reach a CRM, an ERP or your own app

    an integration through the API

    from €3,000

  • The process has its own rules and exceptions

    an automation or an agent

    from €3,000

These routes can be combined. ChatGPT Business gives the team a shared workspace with user administration. The OpenAI API is a separate service, billed independently of the subscription. Syntalith holds OpenAI Select Partner status in the OpenAI Partner Network.

How the rollout runs

How a team rollout runs
  1. 01Free process review, 30 minWe agree how many people and which tasks the rollout covers. A plan and a fixed price in writing within 2 working days.
  2. 02PreparationEach department picks 3 tasks it does every week. We record how long each one takes today.
  3. 03Licences and workspace, days 1–3Who needs a Standard seat and who needs Premium. Sign-in, roles, connections to Microsoft 365, Google Workspace or Slack.
  4. 04Data, GDPR and limits, days 3–5Which data may be shared, connected apps, the spending limit. An AI policy for the board to approve.
  5. 05Training, days 6–10Each group practises on its own files. The programme and the attendance list for the Article 4 AI Act records.
  6. 06Measurement after 30 daysThe time of the same tasks once more, and a list of tasks to automate with a price for each.

Rules for working with data

Before you invite the team, write down which information may go into the tool. OpenAI states that by default it does not train models on data from its business products and the API (enterprise privacy).

Before you invite the team
  • The workspace owner and the person who grants and removes access
  • A list of data that must not be shared
  • Approved connections to apps and sources
  • An AI policy approved by the board
  • A test: an employee sees only the documents they have permission for

Security questions are covered in the article is ChatGPT safe for company data.

What it costs and when it pays back

ScopeNet priceWhat it covers
Free process review€030 minutes with an engineer, 3 to 5 team tasks, a written plan in 2 working days
Rollout for a team of up to 10 peoplefrom €1,1502 weeks: accounts and roles, rules for working with data, training on the team's tasks, a measurement after 30 days
Rollout for up to 40 peoplefrom €2,300Training for each department, connections to the company's tools
Above 40 people or Enterprisefrom €4,600Several permission groups, a larger organisation
Review of an existing account€450The licences are already there: an account review and 5 tasks set up in 1 day
Training without a rolloutfrom €1,150 a dayFor a team that already has company accounts
Scenario: 10 people on ChatGPT Business
Time saved
10 people × 2 h a week × 4.33 = 86.6 h
Value of that time
€3,022
Licences
$250 (€223)
Left after licences
€2,799 a month

Payback of a €1,150 rollout

0.4 months

The hours saved are the scenario's assumption, which we check by timing the tasks before the training and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Licences with monthly billing, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

Guides for the next decisions

When an integration is needed

If employees regularly move the same data between tools, look at connecting the process. Write down separately reading data, preparing a proposal and actions that change the state of a system, such as saving a quote or sending a message. Each needs its own permissions. The order of work is described in the guide AI agent implementation step by step, and the scope of connections in the article on integrating ChatGPT and Claude with business systems.

Worked example · Scenario

How we count the payback: a team on ChatGPT or Claude

We run the same count in the free process review: the team's tasks, the time, the licences.

€4,534

a month for finding agreements and handing over cases in a team of 10

Payback: 1 mo.

3 hours a week per person for finding agreements and handing over cases is our assumption. A 30% cut sits within the range of controlled studies (MIT: 40%, Harvard and BCG: 25%). €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Licence: ChatGPT Business or Claude Team at 20 USD per person a month on annual billing, about €17.85 at the ECB rate of 1.1205 USD per euro on 22 October 2026. Rollout: from €1,150 for up to 10 people, from €2,300 for 11 to 40 people.

See the full calculation →

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 ↗

Practice this on your team’s own tasks.Book a free process review (30 min) →

„I already use AI.”

Your people too. Just no rules.

From our conversations with companies

5 na 10 employees paste sensitive data into private AI accounts: contracts, invoices, customer data.

In ESET survey (2026)

1 na 10 admits this in the survey.

Customer data pasted into a private AI account without an data processing agreement is a violation of the GDPR.

Don't worry, we won't tell anyone :)

What do we see in companies that "already use"

  • Only ChatGPT or Claude accounts, without plugins, skills, integrations and MCP servers with company tools.
  • Company programs are not connected to AI. People still click through systems and Excel, and enter chat data manually.
  • Lack of company standards: everyone writes instructions in their own way, no one shares what works.
  • No rules for personal data, GDPR and company secrets.
  • No limits and no visibility: no one knows who uses AI, how much and for what.

62% Polish employees use AI at work · 27% companies have written rules for working with AI.

Source: ESET and DAGMA, Cyberportrait of Polish business 2026 (March 2026, 1,026 people) ↗

ChatGPT or Claude space review

Accounts, permissions, rules for working with data and 5 tasks set for the team. 1 day.

€450 net

ChatGPT rollout →Claude rollout →

Company accounts, rules of working with data and team training in 2 weeks, from €1,150 net.View implementation for the team →

„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 training for teams

Practice this on your team’s own tasks.

Closed training is conducted by engineers who implement AI systems themselves. We arrange the program according to the participants' roles and tools, and we measure the time of the same tasks before the training and after 30 days.

See AI training →
net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days

Questions

  • Where should a ChatGPT rollout in a company start?

    With 3 to 5 tasks the team does every week and rules on which data may go into the tool. In the free process review we agree the scope, and within 2 working days you get a plan and a fixed price.

  • ChatGPT or the OpenAI API?

    ChatGPT Business is enough when employees work in the ChatGPT window on documents and materials. The API is needed when the result has to reach a CRM, an ERP or your own app automatically. The API is billed separately from the subscription.

  • How much does a ChatGPT rollout cost?

    From €1,150 net for a team of up to 10 people, from €2,300 for up to 40, and from €4,600 above 40 people or on Enterprise. Business licences cost $20 per person a month with annual billing.

  • Is Syntalith an OpenAI partner?

    Syntalith holds OpenAI Select Partner status in the OpenAI Partner Network. We also work with Claude and choose the tool to fit the process.

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.