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Training for the team

AI training for architects: working with a brief

Syntalith offers AI training for an architectural office in preparing a brief, assessing concept variants and describing changes to the client. The price starts from €1,150 net per day. The program combines the participant's own rehearsal, discussion of the decision with the presenter, and revision based on the project requirements. We determine the scope of tools after learning how the office works.

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 architects cost and when does it pay off?

Short answer

AI training for architects 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. Architects practice working with the brief, arrangements with the investor and descriptions of variants. We measure task time before the training and after 30 days.

70,9%

According to Eurostat (2025), 70.9% of companies in the EU that have considered AI but are not using it cited a lack of knowledge within the team as the reason.

Source: Eurostat, AI in enterprises (2025) ↗

Figures checked: 22 October 2026

Scope step by step

Requirements that should survive the next versions

The first task concerns the brief. The participant separates static elements from those that can be changed and prepares an instruction for AI to work on a conceptual basis. They check whether all requirements have a basis in the client's materials. Missing information is not replaced with an assumption without indication.

In a fictional exercise, the client wants to change the color scheme of the meeting room, keeping the number of seats and existing passage. The proposal looks coherent, but it removes some seats. The author should name this discrepancy and improve the task description. We can work on prepared variants; the use of an image generator depends on an agreed tool and access to materials.

Evaluation of variants and discussion about changes

The second part of the program involves comparing results with the brief. The participant records what they checked, what is proposed, and what cannot be determined from the image alone. The instructor asks about a specific requirement and asks for the basis of the evaluation. Comments refer to a specific decision by the author: recognizing the requirement as fulfilled or leaving it for further verification.

Next, the author prepares a short explanation for the client. It should enable a discussion about selected features without suggesting the acceptance of technical solutions. A colleague plays the role of the recipient and points out sentences that they read as confirmed parameters. The author corrects them and keeps the description of the variant's limitations.

In a solo task, one condition from the brief is changed, for example, the need to reserve space for a short conversation. The participant updates the comparison and the questions to the client. We evaluate whether the author preserved the remaining requirements and whether they distinguished the change from the previously accepted agreement. Variant Evaluation Guide shows the basis for such work.

Roles in the office and program boundaries

The conceptual designer, the person preparing the presentation and leading contact with the client, can work on a shared material. Each prepares their own part before the discussion. The level of difficulty depends on the experience with AI: shorter briefs at the beginning, more conflicting comments for experienced individuals.

The program concerns conceptual work and communication. Verification of dimensions, construction, installations, and legal requirements belongs to the appropriate specialists. The training does not include approving documentation or declaring the correctness of the BIM model. If the goal is to learn a specific design program, its scope must be confirmed separately.

How to order a training session?

A conversation is sufficient with a description of the difficulties with updating the concept after client feedback. The company selects materials allowed for work and the tool; access and licenses are agreed before the session, without reselling licenses through Syntalith. One can start with a completely fictional brief.

Format online or in the office, number of groups and time for revisions are recorded in the offer. Later discussion of practical experience is an optional feature requiring agreement. This is a proposed program, without assigned results of a professional implementation. Talk about team tasks or check corporate training format.

How much does the training cost and when is it returned

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 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. Weekly hour savings per person is cautiously assumed and checked by measuring time spent on 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, kurs NBP 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 has decreased by 40%. Therefore, the scenario adopts a cautious weekly hour and checks it by 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

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.