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Notion AI or ChatGPT for company knowledge?

Short answer

Look at Notion AI when the team searches for answers in knowledge kept in Notion and connected apps. A ChatGPT project suits work on one case with its files and instructions. A trial decides: does the employee get a correct answer from the current source. A rollout for 10 people costs from €1,150 net at Syntalith and pays back in 0.9 months at an hour saved 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

Searching knowledge with AI: statistics 2026

0.9 mo.

payback of a €1,150 rollout for 10 people who save an hour a week looking for answers. €1,288 a month is left after licences. Scenario.

Figures checked: 22 October 2026

Notion describes Enterprise Search as a feature of the Business and Enterprise plans. It searches the Notion workspace and connected apps, cites its sources and lets you narrow the search. The documentation warns that some model settings limit the answer to the web, so check the chosen mode before the trial.

Projects in ChatGPT bring together the conversations, files and instructions of one case. The documentation notes that a Google Drive added to a project does not sync in advance, although it lets you search and read files.

Where to start
  • Procedures have owners and live in Notion

    search in Notion

    does the answer point to the version in force

  • Several people work on the documents of one case

    a ChatGPT project

    does everyone have the right files

  • Knowledge is spread across several apps

    connectors in the plan of both tools

    does each person see only their own sources

  • Documents contradict each other and have no owners

    tidy the sources before buying

    who decides on the current version

If the team is only starting to work with AI, moving all its knowledge into a new tool is often a bigger project than the training itself. Start with the tool where the procedures already live, and with one department.

What it costs and when it pays back

Scenario: 10 people look for answers in procedures
Time saved
10 people × 1 h a week × 4.33 = 43.3 h
Value of that time
€1,511
Licences
$250 (€223)
Left after licences
€1,288 a month

Payback of a €1,150 rollout

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. ChatGPT Business Standard at $25 a seat with monthly billing, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The rollout covers accounts, rules for working with data and training on the team's tasks. After 30 days we time the same tasks again, so the assumption of an hour a week turns into a measurement.

A trial on an old and a new procedure

Prepare a fictitious procedure for returning equipment in two versions: with a 7-day and a 14-day deadline. The new version has a start date and an owner. Add an employee's note with the old deadline.

A trial in one afternoon
  1. 01QuestionAsk about the return deadline and ask for the basis.
  2. 02SourceOpen the document cited and find the passage the answer comes from.
  3. 03ContradictionCheck whether the tool noticed the old note.
  4. 04GapAsk about an exception the documents do not describe. The correct result is „no information” and a contact person.
  5. 05RecordNote correctness, the accuracy of the source and the checking time separately.

An answer with an invented deadline is an error, even when it sounds convincing. Good summaries of simple documents do not make up for exposing confidential material.

Check permissions on two accounts

Notion states that it respects permissions in connected apps and points to delays in reflecting changes to them (Enterprise Search security practices). In a project, check whether uploading a copy of a document exposes it to people without access to the original. Approving a connection to an app and agreeing to copy a file to a shared place are two separate decisions.

Count the work on updates

Licences are one item. The second is the time of the person who removes old copies, checks the connections and helps employees. A plan you already pay for lowers the cost of the trial, but it does not remove the work of tidying knowledge. When an answer has to trigger a write in a system, the scope turns into an integration. We describe this under AI for team collaboration.

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

  • Notion AI or ChatGPT for a knowledge base?

    Notion AI when procedures have owners and are kept up to date in Notion. A ChatGPT project when several people work on a closed set of documents for one case. When knowledge sits in several apps, check the connectors in the chosen plan of both tools.

  • Which Notion plans include Enterprise Search?

    Notion describes Enterprise Search as a feature of the Business and Enterprise plans. It searches the Notion workspace and connected apps, cites its sources and lets you narrow the search to chosen material.

  • How much does a team rollout cost?

    At Syntalith a ChatGPT or Claude rollout costs from €1,150 net for a team of up to 10 people, €2,300 for up to 40 people and €4,600 above 40. You buy licences from the vendor. At an hour saved per person a week, the rollout for 10 people pays back in 0.9 months.

  • How do we check permissions?

    On two test accounts with different access and with fictitious documents. The account with narrower access must not receive the content of a procedure it cannot see in the source. Repeat the trial after permissions change.

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.