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Should the manager attend the team’s AI training?

Short answer

A manager is needed at AI training when the team does not know what result is useful or what may change in its way of working. During first attempts with the tool their presence is often unnecessary. In the review of finished work they settle what the reader needs. 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

Managers and AI at work: 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 shorter report, and a manager who wants the old format

The team prepares a shorter report with AI, but the manager still expects every detail of the old document. So the employees go back to the old format. In a selected part of the workshop we compare both versions and establish which information the manager uses to make a decision.

The manager reads the result a participant prepared and describes what they still need. The trainer helps separate a comment about the purpose of the document from a preference about wording, and the author fixes their own text. The CIPD, on analysing learning needs, points to the involvement of line managers, experts and employees.

When the manager is needed
  • Choosing the task and the goal

    before the sessions

    a 30-minute conversation

  • First attempts with the tool

    the team with the trainer

    without the manager

  • Reviewing finished work

    the manager as the reader

    a selected part of the workshop

  • Rules after the training

    the manager sets the time and the contact

    after the sessions

The manager's role after the training
  • When the team will use the new way of working
  • Who to go back to with questions about the rules
  • Time to check the result before it is sent
  • An attempt of their own, if they prepare analyses themselves

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 Microsoft's Work Trend Index (2024), 59% of leaders worry about quantifying the productivity gains of AI. The manager's part in setting the goal also makes the later measurement easier. After the training the manager compares the documents prepared with AI with earlier ones and notes what is missing. Gaps in purpose we discuss with the team, and gaps in form are solved by a shared document template.

The job title does not set the AI level

A manager who uses AI every day may need a harder task, and an experienced specialist a gentle introduction. If the manager prepares analyses personally, they get an attempt of their own that fits that work. In the first attempts people need room for questions and for showing a failed result, and the presence of their boss can hold them back. Materials for board decisions are covered in AI for managers and boards.

The manager in the room or alongside
  • The team does not know the purpose of the document

    a conversation with the manager before the sessions

    part of the preparation

  • The result depends on what the reader expects

    the manager at the review of work

    a selected part of the workshop

  • The manager prepares analyses personally

    an attempt of their own in the programme

    from €1,150 a day

Where to start

Before you order, we discuss the team's tasks, what the readers expect and the topics that need a company decision. For the call, describe which of the team's decisions need the manager. 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: the team and the manager

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

€1,675

a month for preparing 12 management reports

Payback: 2.1 mo.

4 hours to prepare a management report 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: checking the commentary in our reporting system (about €0.0002) plus compiling the data (Claude Sonnet 5.5, about 30,000 + 2,000 tokens), 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

  • Should a manager take part in the team's AI training?

    In selected parts: when the goal is set before the sessions and when finished work is reviewed. The team makes its first attempts with the tool together with the trainer.

  • What does the manager do after AI training?

    Decides when the team will use the new way of working, gives time to check the result and names who to go back to with questions about company rules.

  • 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.