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ChatGPT or Claude training: choosing a programme for your team

Short answer

If the company has already approved ChatGPT, train in ChatGPT. If it approved Claude, train in Claude: people practise in the tool they will return to after the sessions. A comparison workshop makes sense when the decision is open or one team has needs the current tool does not meet. A training day at Syntalith costs from €1,150 net and pays back in 0.9 months for 10 people saving an hour a week.

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 · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

AI training in companies: statistics 2026

0.9 mo.

payback of a €1,150 training day when 10 people save an hour a week. €1,288 a month is left after licences. Scenario.

Figures checked: 22 October 2026

Choose the kind of programme

Where to start, by situation
  • ChatGPT is approved and the team is starting

    ChatGPT training on the company's tasks

    the participant prepares and checks the result alone

  • Claude is there and everyone works differently

    a workshop on a shared way of working

    a repeatable instruction

  • The tool has not been chosen

    a short comparison trial

    a decision on quality, time and access

  • Tasks on files and in apps

    an agentic work module

    checking changes and signing off files

  • The team writes and changes code

    a programme for developers

    a change goes through review and tests

The last case needs different preparation, described in the Codex rollout and Claude Code for teams. Setting up accounts together with training is covered by our ChatGPT and Claude rollout on the team training page.

What ChatGPT and Claude have in common

The participant describes the task, chooses the source material, judges the result and recognises missing information. With a reply to a customer, they know where a date comes from, and with an analysis of numbers they check the total and the period. The programme also covers the company's rules for working with data and the features available on the participants' accounts, because a demonstration of a feature they do not have cannot be practised.

Three exercises for a comparison workshop

The same material in both tools
  1. 01Two documentsTwo versions of a service description with a change of scope, a change of date and a conflicting attachment. The result is the differences, with the passages named.
  2. 02A report from a spreadsheetAn export with a duplicate ID. The participant checks the totals before writing the conclusion.
  3. 03A missing factA ticket without the current order status. A good result names the gap and a question, and does not invent a date.

In each exercise, score the omissions and the time to check the result, because fluent text is easy to overrate. A fluent answer with an invented date fails the task. Give the tools the same material and comparable time. Vary the order of use between participants, so the second tool does not benefit from what was learned in the first attempt, and record corrections and unfinished tasks.

When to add ChatGPT Work or Claude Cowork

Agentic work helps when a task has several steps and ends with a file or a change in a tool. ChatGPT Work uses files and approved apps depending on the account, and Claude Cowork needs the connected desktop app for local files. In this module you practise permissions, where results are saved and reviewing changes. For an operations team we prepared a Cowork rollout guide.

What it costs and when it pays back

Scenario: 10 people after training in the chosen tool
Time saved
10 people × 1 h a week × 4.33 = 43.3 h
Value of that time
€1,511
Licences
$250 (€223)
Left after licences
€1,288 a month

Payback of a €1,150 training day

0.9 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. ChatGPT Business or Claude Team Standard at $25 a seat with monthly billing, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

A comparison module can last four hours: the task and the rules, two solo attempts, a shared review and a record of the decision. Learning every feature of both products does not fit into it, so choose the group for one kind of work. After the trial you have a choice of tool for specific tasks, a list of limits and an instruction for the next piece of work. The costs of training and licences are set out in the training cost calculation, and we agree the programme as part of team training.

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

  • ChatGPT or Claude training?

    In the tool the company has already approved, because the participant returns to it after the sessions. When the choice is open, run a short comparison trial on the same tasks before the full programme.

  • How much does ChatGPT or Claude training cost?

    At Syntalith from €1,150 net a day. We price the programme and the access needed after a call. You buy licences from the vendor: ChatGPT Business and Claude Team Standard each cost $25 per person a month.

  • Do we have to buy both tools for the comparison?

    Not for every employee. Set up a small comparison group and accounts for the exercises, then choose the scope of the wider programme.

  • What should both trainings have in common?

    Describing the task, choosing the source material, judging the result and recognising missing information. These skills carry over between tools.

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.