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AI training and automation at the same time: interpreting the results

Short answer

When AI training and an automation start in the same month, shorter working time has two causes. Assess separately what the automation removed, for example manual data import, and what the team learned, for example writing the report commentary. At Syntalith team training costs from €1,150 net a day. With 10 people and 1 hour a week saved per person, it pays back in 0.9 months after licences.

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

Training and AI: statistics 2026

0.9 mo.

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

Figures checked: 22 October 2026

One result, two changes running side by side

After the training the team prepares reports faster, but an automatic data import went live in the same month. IT credits the whole time saved to the import, and L&D credits it to the training. Both notes describe the same work. The information available shows that the import removed the manual transfer of data, and that participants can write a commentary with AI and check it against the source.

Preparing a report covers gathering the data, interpreting it, writing the commentary and making corrections after review. The import changes the first part, and the training concerns reading the material and editing. The participant's own trial after the training matches the new way of working. There is no reason to ask a participant to do by hand a step the company has just removed.

Assessing two changes at once
  1. 01Taskthe stages of work before and after the changes
  2. 02Automationwhich stages it removed or shortened
  3. 03Trainingwhich stages the participant does better
  4. 04Trialindependent work on new material
  5. 05Summarythe two causes described separately
What to agree before the training
  • The manager: the task and what the result should look like
  • IT: the change of tool or of access to data
  • L&D: the scope of the programme and how it is assessed
  • Finance: the information needed for the later summary

What AI training 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 €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-written text takes as long as writing from scratch, we change the exercises or the scope of the tool.

According to the European Commission (2026), 48% of EU SMEs and mid-caps name a lack of expertise as a barrier to using AI. When training and a system change run side by side, measuring what the training added needs the work split into stages.

Compare the order with the promised evaluation

The CIPD factsheet on evaluating learning links evaluation to identified gaps in work and to business goals. For the buyer this means that the evaluation of training starts from what the participant should do differently. In the proposal, state whether it covers a baseline assessment, practice on new material and a review after a period of work. A formal estimate of the effect on company results, with two changes running in parallel, needs a separate plan, because a before-and-after comparison of time is not enough here.

How to assess the changes
  • Training only, system unchanged

    time measured before and after 30 days

    included in the training price

  • Training and automation at once

    stages of work assessed separately

    included in the training price

  • Formal effect on company results

    a separate evaluation plan with a comparison group

    priced after the review

Where to start

If the system is still changing, we plan part of the practice after the new way of working is settled. Bring a description of the task and of the changes the company is making at the same time. We run the workshop as part of team training. For the free process review, a description of one task the team does every week and the tools it uses is enough. You get the training programme in writing within 2 working days.

Worked example · Scenario

How we count the payback: team reports

We run the same count for your team in the free process review.

€1,815

a month for 12 h a week of report preparation

Payback: 1.9 mo.

The hours for each firm size 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. We measured the model cost in our report system: a commentary with a check of the figures costs about €0.0002, converted at the NBP rate of 21 October 2026 and 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

  • How do you separate the effect of AI training from automation?

    Split the work into stages. Assess separately the stages the automation removed or shortened and the ones a participant does better after the training. The participant's own trial runs in the new way of working.

  • Is it enough to compare the time before and after?

    It is not enough when the system changed in the same period. The shorter time then has two causes, and each one needs describing stage by stage.

  • How much does this 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 and 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.