Skip to content

AI training program

Training: AI on company documents

Syntalith training teaches employees to ask questions about company documents and check whether the answer actually comes from the source. The price starts from €1,150 net per day. The proposed program includes the selection of materials, working with different versions of instructions and communicating detected errors to the content owner. It can be performed in the agreed tool, without building your own application.

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
conversation with an engineer and a written plan within 2 business days
€0

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

Statistics

How much does training in working with AI on company documents cost and when does it pay off?

Short answer

Training in working with AI on company documents costs from €1,150 net per day. In our Polish cost example, a PLN 4,900 training fee pays back in 2.6 months: 10 people save an hour a week, and after the licenses they have PLN 1,905 left per month. The team practices questions for company documents, source control and access rules. We measure task time before the training and after 30 days.

27%

According to ESET and DAGMA (2026), only 27% of companies have a written policy on the use of AI.

Source: ESET and DAGMA, Cyberportrait of Polish business (2026) ↗

Figures checked: 22 October 2026

Scope step by step

For users and those responsible for knowledge

In the exercises, it is beneficial to combine individuals asking about procedures with the employees who maintain them. The user needs to evaluate the answer before performing the task. The document owner must recognize whether the error stems from outdated material, lack of information, or the tool's usage method. These roles work on a common example, yet they receive different tasks.

Before the session, we establish which documents are allowed to be used and who has access to them. For the exercises, you can prepare a fictional user guide. The company does not need to share its entire library or create a new administrative account just to determine the training program. Environment configuration and licenses are arranged separately.

The answer with a reference also needs to be checked

The first part concerns questions that can be resolved based on a single instruction. The participant defines the situation, asks for the correct step, and opens the indicated section. They check whether the source applies to the correct target group and whether it contains all the conditions listed in the answer. A reference to an existing file alone is not sufficient to accept the conclusion.

In the example task, the instruction provides a standard response time, but a separate point excludes cases requiring inspection. AI prepares a short answer for such a report. The participant must indicate whether the exception was considered and improve the message to the client without inventing a new deadline. The instructor discusses both the content of the question and the justification for the participant's decision.

Next, participants receive a question for which the materials do not provide an answer. They practice recognizing the lack of basis and directing the matter to the appropriate person. A good refusal is a correct result in this task. We do not evaluate work by the number of questions the tool answers smoothly.

When the document has been replaced

The second part of the program concerns the old and new versions of the same material. The person asking the question checks the date of validity and the scope of the change. The content owner prepares the information on which version should be withdrawn and where the references still point to it. If the company has not established the current version, we record this as a problem to be resolved by its owner.

We separately discuss access to sources. Participants describe what to report when the answer reveals material inaccessible to the inquirer. This exercise is about reaction and documenting the problem. Technical checks of permissions, revoking access, and memory of previous conversations require the involvement of an administrator and a set test environment.

Our example of company memory with permissions provides material for discussion about such boundaries. It uses synthetic data and has a description of the limitations of searching when questions are formulated in different words. It does not confirm the quality of the answer or control access in the participants' environment.

Feedback and independent task

After the first exercise, the instructor points out the statements without a basis, the omitted conditions, and the places where the participant accepted the source without opening it. The participant corrects the answer and writes a short justification. The next task uses a different document to check whether the participant can apply this method independently.

In the evaluation, we separate the tool's incorrect answer from the person's decision to use it. If AI provided an incorrect deadline, and the employee detected the omitted exception, they performed their part correctly. A list of noticed problems can serve to choose the materials requiring reorganization. The scope of such preparation and work between sessions is defined in the offer.

Training and assistant deployment

The program concerns working with answers and sources. Building connections with the library, user login, and automatic document updates belong to a separate assistant deployment for company knowledge. If the goal is to launch a team tool and its configuration, the starting point is ChatGPT deployment in the company.

On a discussion about the program, prepare a few recurring questions in the team and a description of the documents from which employees currently benefit. We will assign participants' roles, pace, and number of sessions. The daily rate does not automatically include licenses, integrations, or technical audit of permissions.

How much does the training cost and when does it pay off

Training starts at €1,150 net per day. We calculate the return on one process, without assumptions about the entire company.

Scenario: 10 people after training (Polish cost example, PLN)
Time saved
43.3 hours/month
Value of time
2,877 PLN
ChatGPT Business Licenses
250 USD (972 PLN)
Remaining after licenses
1,905 PLN/month

Return on training for 4,900 PLN

2.6 months

10 people × 1 hour weekly × 4.33 weeks = 43.3 hours. We cautiously assume an hour of savings per person weekly and verify it by measuring the time of tasks before and after 30 days. An hour of work at 66.45 PLN is the average wage according to GUS from September 2026, including employer costs. Licenses: ChatGPT Business Standard 25 USD per place monthly, NBP exchange rate 3.8889 PLN. If the team already has licenses, the return is faster.

According to a study published in Science (2023), the time for writing tasks with ChatGPT decreased by 40%. Therefore, the scenario adopts a cautious weekly hour and verifies it through measurement.

„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 →

Training on your team's tasks, from €1,150 net per day.See range and price →

Scope and price

From €1,150 net per day

The number of sessions and groups as well as the work between meetings are determined before the quote.

Claude Partner Network member

Denotes membership in Anthropic's partner program for Claude. Not an endorsement of Syntalith's services by Anthropic.

1:1 course participants

People we've trained one-on-one.

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 ↗
  • „A large stream of documents passes my desk every week. I now review, draft and prepare them with Claude in a fraction of the time, and research that used to eat an afternoon takes minutes. It is wired into the services I already work in, so the documents reach me instead of me hunting for them.”

    Hlib Utkin, public administrationHlib UtkinPublic administration
  • „I came in using coding agents ad hoc and left orchestrating them: loops, an agent kanban, a full development cycle that ships. What stayed with me is running context and cost on purpose, and building my own harnesses instead of waiting for a tool to ship one. It changed how I work day to day.”

    Ivan Chepurin, Senior Software Engineer at ImmutableIvan ChepurinSenior Software Engineer, Immutable
  • „I run a design studio, not an engineering team, and I still left with something working. We built an agent loop that pulls in leads and keeps an eye on the competition, and I put my own site together with Claude. It was hands-on, on my real work, not a talk about AI.”

    Oleksandr Usyk, co-founder and art director at jakotako.designOleksandr UsykCo-founder & Art director, jakotako.design

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.