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Increase AI adoption after buying licenses

Short answer

Low use of AI licences comes from missing skills, the wrong tool, no access to data or the way work is organised. First check what stops people on a specific task. With 40 seats at $25 and 4 in 10 unused, the company pays €357 a month for empty accounts. A rollout for a team of up to 40 people costs €2,300 net at Syntalith and pays back in 1 month when 16 people save an hour a week.

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

AI use in companies: statistics 2026

€357

a month is what unused licences cost when 4 in 10 of 40 seats at $25 stand empty. Scenario.

Figures checked: 22 October 2026

Four causes behind one symptom

A view of active accounts says little about value. One employee may open the tool often and get no useful results, while another uses it rarely, but on a task that used to take half a week. „I have no time for AI” can mean that checking the result takes long, that there is no approved data, or fear of being judged.

What you observeWhat to checkA possible response
The employee does not startAccess, data rules, whether the task makes senseRemoving an organisational obstacle
Tries and gives upQuality of the result and the time spent on correctionsPractice on the task or a different tool
A few people use it, the rest do notDifferences between roles, the manager's supportA programme for specific groups
Use grows, the effect does notQuality of the whole processA change of task or of the criterion
What the Microsoft and LinkedIn Work Trend Index (2024) shows
  • 78%

    bring their own AI

    AI users who bring their own AI tools to work.

  • 52%

    keep it quiet

    People who use AI at work and are reluctant to admit using it for their most important tasks.

  • 59%

    worry about measuring

    Leaders who worry about quantifying the productivity gains of AI.

Source: Work Trend Index 2024, a survey of 31,000 people in 31 countries, published on 8 May 2024.

What empty accounts cost and what practice gives back

Scenario: 40 seats, 4 in 10 unused
Licences
40 × $25 = $1,000 (€892) a month
Unused
40% = €357 a month
After the programme 16 people save 1 h a week
69.3 h (€2,418)

Payback of a €2,300 rollout

1.0 month

The share of unused accounts and the saving are the scenario's assumptions, which we check by timing before the programme and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. A Standard seat with monthly billing, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

Not every employee needs to use AI every day. For some roles fewer accounts or access for a set period is justified, and the seats you free up lower the bill from the next period.

Choose work the participant will come back to tomorrow

A good exercise is frequent, has a recognisable result and a person who can judge it: a service reply, a comparison of supplier quotes, a first draft of a comment on a report. Do not start with a task whose correctness nobody can establish.

A programme in four steps
  1. 01CauseA conversation over the most recent task where the employee gave up on AI.
  2. 02TaskChoosing work they will come back to tomorrow, with a person who judges it.
  3. 03PracticeA series of sessions with cases from work, more than one demonstration.
  4. 04MeasurementTime, errors and returns for correction before the programme and after 30 days.

A manager needs criteria for judging, a specialist practises the work, and the process owner decides when a result can be passed on.

How to measure change without mistaking it for activity

Watch access, use and quality separately. An account can be active without the result improving, and a better result can appear without more activity. If people have started using AI privately, growing activity outside the approved environment does not meet the programme's goal. A report of accounts and seats is prepared by licence utilisation reporting automation.

If an employee still moves data between systems by hand, another training session adds less and less value, and it is worth comparing process automation. In a team programme we agree the roles, tasks, materials and assessment. To start, prepare a list of roles, tools and three situations in which employees give up on AI.

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

  • Why don't employees use the AI licences we bought?

    Most often for one of four reasons: no access or no data rules, a weak result and long corrections, no support in their role, or a task where AI does not change the result. Hold the conversation over the example of their most recent task.

  • How much do unused AI licences cost?

    With 40 seats at $25 a month and 4 in 10 unused, it is $400, about €357, a month. According to Microsoft's Work Trend Index (2024), 78% of AI users bring their own AI tools to work.

  • How do we measure AI use in a team?

    Separately for access, use and quality. For a chosen task, record the time including checking, the typical errors and the number of returns for correction before and after the programme. An active account does not prove a better result.

  • How much does a programme to increase AI use cost?

    A ChatGPT or Claude rollout at Syntalith costs €1,150 for a team of up to 10 people, €2,300 for up to 40 people and €4,600 above 40, with a measurement after 30 days. Training alone starts from €1,150 net a day.

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.