Skip to content

Blog · Published · Updated

Company materials for AI training: what to prepare before a workshop

Short answer

For AI training a few examples of tasks the team does every week are enough, with a real difficulty and a description of who receives the result. Invented customer names are fine, as long as the example keeps the differences the work depends on. At Syntalith team training costs from €1,150 net a day. With 10 people each saving 1 hour a week, it pays back in 0.9 months after licence costs.

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 at work and company data: statistics 2026

0.9 mo.

payback of a €1,150 training at 10 people saving 1 hour a week each: €1,511 of time regained, €178 of licences a month. Scenario.

Figures checked: 22 October 2026

A simplification that leaves nothing to practise

The team wants to practise comparing two service proposals. The real customer names are not needed for this. In invented material you can keep the different scope of service, an ambiguous phrase and the buyer's question. If the simplification makes the two offers identical, the exercise loses its point, because there is no difference left to find.

Removing the names from a real document does not settle whether the company allows it to be used. A person with the authority on the company's side judges the content and the environment, and before the practice we agree which files may go into the chosen tool. The CIPD, on identifying learning needs, draws on documents, conversations and observation of the work, and on keeping the information gathered confidential.

Good material for training
  • A task the team does every week
  • The difficulty where mistakes happen today
  • A description of the reader and what they need
  • A separate example for a trial on their own
  • Approval for use in the chosen tool
From a task description to training material
  1. 01Descriptionwhat the employee receives and what they prepare
  2. 02Choicetwo or three examples of different difficulty
  3. 03Simplificationinvented names, the same differences
  4. 04Approvalan authorised person approves the content

What it costs and when it pays back

Scenario: 10 people after the training
Time saved
10 people × 1 h a week × 4.33 = 43.3 h
Value of that time
€1,511
Licences
$200 (€178)
Left after licences
€1,333 a month

Payback of a €1,150 training

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. Claude Team licences at $20 per person a month, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

We measure the hours in the scenario before the training and after 30 days, on the same team tasks. If after a month checking AI texts takes as long as writing from scratch, we change the exercises or the scope of the tool.

According to Eurostat (2025), 48.8% of EU enterprises that considered AI and did not use it named concerns about data protection and privacy. That is why we agree the rules for using materials before the sessions. On the company's side, a person who knows the process chooses the examples, and an authorised person approves their use. The trainer turns them into exercises, model answers and comments on common mistakes, and the team keeps this set for onboarding new people.

Contradictory documents are a separate problem

If the documents contradict each other and nobody can settle what they mean, preparing the training will expose that problem. The company can first clarify the sources or agree on an exercise with neutral material. Building a knowledge library or a connection to a system is a separate scope. You do not need to prepare the whole set of exercises yourself before the call.

Material, sorting out sources or a library
  • A clear task, no examples

    two or three examples with a description

    while preparing the training

  • Contradictory versions of documents

    sorting out the sources before the sessions

    on the company's side

  • The team keeps looking for the same information

    a knowledge library

    from €3,000

Where to start

We set the programme on the description of one task and the kind of documents the team uses. A person who knows the process explains what the information means, and the trainer sets the level of difficulty. We run the workshop as part of team training. For the free analysis, a description of one task the team does every week and of the tools it uses is enough. You get the written training programme within 2 working days.

Worked example · Scenario

How we count the payback: a team after the training

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

€5,817

a month for answering 2,000 customer emails

Payback: 0.6 mo.

5 minutes to read an email and write a reply 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 3,000 + 600 tokens per message with a draft reply, 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 ↗

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

  • What materials should we prepare for AI training?

    A few examples of tasks the team does every week, with the difficulty where mistakes happen and a description of who receives the result. Add a separate example for a trial on their own.

  • Can we train on invented documents?

    Yes, if the invented material keeps the differences and ambiguities of the real work. A simplification that removes the difficulty also removes the exercise.

  • How much does such training cost?

    At Syntalith from €1,150 net for a day of workshop for the team. Claude Team licences cost $20 per person a month. With 10 people saving 1 hour a week each, the payback is 0.9 months.

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.