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Training for the team

AI training in marketing

We are preparing a workshop for creating and editing marketing materials with the help of AI. The price starts from €1,150 net per day. The team works on a brief, justification of the claims and a version of the text for the selected channel. The program includes discussion of the work and its improvement after the lecturer's comments.

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 AI training for the marketing department cost and when does it pay off?

Short answer

AI training for the marketing department 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 texts, briefs and analysis of campaign results, with fact checking. We measure task time before the training and after 30 days.

40%

According to a study published in Science (2023) on 453 professionals, the time spent on professional writing tasks with ChatGPT decreased by 40%.

Source: Noy and Zhang, Science (2023) ↗

Figures checked: 22 October 2026

Scope step by step

From Product Information to Brief

We select the material that the company can provide to participants, and the intended audience of the communication. The author defines the audience question and the purpose of the text. It separates confirmed information from proposals requiring verification by the person responsible for the product.

Let's assume that the service description mentions preparing a report once a month, and the generated text promises a constant overview of results. The participant should find this change and correct the promise. Simply smoothing the style would leave the material with information the company did not confirm. On a fictional brief, such discrepancies can be practiced without using confidential campaign plans.

Editing for a Specific Channel

The next part concerns shortening and expanding content. Participants can prepare a page fragment and a message directed at it. They check whether the shortened version maintains the offer conditions and whether it refers to the material answering the audience's question.

In the discussion, the facilitator points out general statements, repetitions, and promises without a basis. The team contributes its own language rules and product knowledge. After the correction, the participant receives a second brief with a different offer limitation. Independent work allows assessing whether the participant can perform the editing without a ready list of errors from the first example.

We can include texts prepared for search, if it corresponds to the group's responsibilities. The scope of the sessions concerns the quality of responses and the consistency of content with sources. Position in Google, citations by the model, and the number of customer queries are not guaranteed results of the workshop.

Division of Work in the Team

The content creator needs information from the product owner and someone who approves the offer. Before the sessions, we establish who participates in the exercises and who contributes requirements to the brief. The program for the team writing regularly will be different than the introduction for people just starting to use AI.

If the company does not have a confirmed price or service scope, these information need to be internally agreed upon. The tool will not decide for the company what the audience can be promised.

How to Order a Training

The offer defines the preparation, number of sessions, and time for evaluating the work. Any consultations after the sessions are arranged separately. The client chooses the allowed environment and purchases licenses; the setup of accounts and connections with other tools has a separate scope.

Submit a description of the type of materials and the process of their acceptance.

Who Participates in the Sessions

The content author needs time for the brief, draft, and correction. The product expert explains the scope and basis of the statements, the editor works on the argumentation and language, and the campaign specialist evaluates how the material connects with the advertisement or email. Not everyone needs to participate in the entire program.

Each performs their own task and receives feedback on the material that applies to them. Work can be done on a fictional offer. The workshop can focus on a single campaign material or be spread over a series of sessions with an independent task between meetings.

How Much Does the Training Cost and When Does It Pay Off

The 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 the 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 and check the weekly time saved per person and measure 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 checks it with measurement.

Frequently asked questions

How much does the AI marketing training cost?

From €1,150 net per day of sessions. The offer defines the preparation, number of sessions, and time for evaluating the work. Licenses are purchased by the company.

In which tool do we work?

In the tool selected by the company, for example, ChatGPT or Claude. Setting up accounts and connections with other tools is a separate scope.

Can the training take place online?

Yes. We conduct the sessions in the client's office in Warsaw or online, in the tool approved by the company.

„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

We determine the program, number of groups and time to discuss the work 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.