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AI onboarding: what new employees need for their first tasks

Short answer

A new person often uses AI well, but does not know which materials the company treats as current and who checks the answer. The training part of onboarding sets out the first tasks, the sources and the support. With 12 new people a year, each saving 2 hours a week over their first 13 weeks, that is 312 hours, worth €10,889. A workshop day costs from €1,150 net.

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 and new employees: statistics 2026

312 h

a year saved by 12 new people when each gains 2 hours a week over the first 13 weeks. Worth €10,889 against €1,150 for a workshop day. Scenario.

Figures checked: 22 October 2026

Knowing the tool and knowing the company are different things

An experienced user writes a draft quickly, but does not recognise a company abbreviation or the difference between working material and an instruction in force. A person with no AI experience may know the industry very well. The programme allows for both situations and does not send everyone through the same basics. One colleague gives the new person a ready prompt and another a different method, so a shared way of working saves time on both sides.

Who needs what
  • New to the company, at home with AI

    sources and rules

    Which materials are current, which data may be shared, who approves.

  • Knows the industry, new to AI

    working with the tool

    Describing the task, the context, checking the result.

  • Everyone

    where to report a gap

    Access, permissions and a person to ask.

According to Eurostat (2026), 63.8% of people aged 16 to 24 in the EU used generative AI tools in 2025. Where the company has no written rules for AI, a new person has nowhere to learn them. The CIPD's factsheet on induction describes giving people the knowledge and support their role needs, and the AI part should fit the work the new person will actually get.

The first answer from company materials

A new employee prepares an answer to a question about a service. They have the current description and an older presentation from a sales meeting, and AI combines both documents. At the review it turns out the author did not know the two had different purposes. The manager explains which material the company uses, and the trainer helps set the sources and the audience for the next draft. What was missing was knowledge of the company, which a better prompt cannot replace, so both people take part in the review.

The first weeks with AI
  1. 01Day 1The tool, the approved data and where to report missing access.
  2. 02Week 1The first answer from company materials and a review of the sources.
  3. 03Week 2Comparing documents and a question to a colleague.
  4. 04Week 4A task done alone: a new customer question, the material chosen by the new person.

What it costs and when it pays back

Scenario: 12 new people a year
Saving
12 people × 2 h a week × 13 weeks = 312 h a year
Value of that time
€10,889 a year, €907 a month
Workshop day
€1,150

Payback

1.3 months

The number of new people and the saving are the scenario's assumptions, which we check on the first group. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat.

If new employees struggle only to find one instruction, making it easier to find is enough. Training helps when they need practice in using information for their own task. It does not replace on-the-job onboarding. If the company uses ChatGPT Work or Claude Cowork, the practice takes place in the agreed environment and on the available materials, and HR and IT sort out access before the session with the trainer.

Who helps after the sessions

The onboarding buddy knows the reality of the work and answers questions about the company. The trainer helps the new person understand the tool and improve an attempt. With recurring hiring, we agree material for later use and a person responsible for keeping it up to date, because a change of tool or of a service description has to reach the examples. Tell us about the first task a new person does with AI, and we will fit the sessions to your current onboarding programme.

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 we build AI into onboarding new employees?

    Choose work done at the start of employment and decide what needs explaining about the company and what about the tool. The programme covers the approved tool and data, how to check answers and practice on the role's tasks.

  • Don't new employees already know AI?

    Many do. According to Eurostat (2026), 63.8% of people aged 16 to 24 in the EU used generative AI tools in 2025. They do not know the company's rules, though: which materials are current, which data may be shared and who approves the result.

  • How much does the training part of onboarding cost?

    A team workshop day at Syntalith costs from €1,150 net. With 12 new people a year and 2 hours saved a week over 13 weeks, the time is worth €10,889.

  • Who helps the new person after the sessions?

    The onboarding buddy answers questions about the company, and the trainer helps with the tool and with improving an attempt. The new person needs to know what to take to each of them.

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.