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ChatGPT and company knowledge: implementing document access

Short answer

ChatGPT can answer employees from company documents and name the source. Start with the questions of one team and documents that have an owner. Check whose permissions the connection uses, and test the answers on employees' accounts. A ChatGPT Business licence costs $20 per person with annual billing, and a rollout for a team of up to 10 people 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 · 4 min read

Example: the morning request inbox
Agent · ready

Statistics

ChatGPT at work: statistics 2026

$20

per person a month on ChatGPT Business with annual billing, $25 with monthly billing. A team rollout from €1,150 net.

Figures checked: 22 October 2026

Start with the questions of one team

"All the company's documents" is too wide a scope for a first trial. Choose an area whose materials have an owner, for example product instructions in the service team. Gather questions from normal work, including those the documents do not answer.

A set of questions for the test
  • 20 to 30 questions from recent weeks, each with the document that answers it
  • A question about a withdrawn product or an old version of a procedure
  • A question about a document the test employee has no access to
  • A question with no answer in the documents, to see whether ChatGPT admits it

When there is no document, the answer should say so and name the person who will clear the matter up. Preparing the accounts, materials and training is described on the ChatGPT rollout for your team page.

Files or a standing connection

Two ways to connect knowledge
  • Files in a project

    a small trial

    The team sees exactly which material it handed over. The copies have to be updated after every change at the source.

  • A connection to SharePoint or Google Drive

    a larger set

    Documents update at the source. The features depend on the plan, the configuration and the specific connection.

ChatGPT on business plans uses files, projects and approved apps (OpenAI documentation). Do not assume every format is handled the same way. In the test, check tables, scans and instructions whose meaning depends on a drawing.

Whose permissions the connection uses

This is the most important question before the start. The answer is in the ChatGPT Work admin FAQ.

Access modelWhat the employee seesWhen to be careful
Individual connectionOnly what they can access at the source themselvesRarely: access is the same as today
Shared connection or agent accountThe resources of the account the agent usesWhen the agent account sees more than the user

For searching instructions, limit the connection to read-only where that can be enforced. Run the test with a user who has limited permissions. Check removing access and a change of group separately.

How current the answer is and where it comes from

An approved document should have an owner, a date it applies from and a version. The archive has to be told apart from current documents. When two documents contradict each other, the answer should point out the conflict.

Require a source precise enough for the employee to open the right passage. At acceptance, check that the source really confirms the answer. A link to a procedure does not prove it contains the rule stated.

Knowledge about rules does not contain the operational state. The question "how do I report a missing part?" has its answer in the instructions. The question "is the part available today?" needs stock data and a separate integration.

The budget for a ChatGPT knowledge base: licences, tidying and support

Scenario: 8 people on ChatGPT Business, monthly billing
Licences
8 × $25 = $200 a month
Reviewing documents before the start
60 × 10 min = 10 h
Cost of an hour of work
€34.90

Work on tidying

€349 once

The number of documents and the review time are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Licence price from OpenAI's price list, before tax.

What it gives in numbers: if the team looks up instructions 300 times a month at 8 minutes each, and with ChatGPT at 5.5 minutes including opening the document, it gets back 12.5 hours, or €436 a month. Licences for 8 people cost €178, but they also work on writing, summarising and analysis. Search is only part of the return, so the pilot measures several tasks at once.

At Syntalith a rollout for a team of up to 10 people costs from €1,150 net: accounts, rules for working with data and training on the team's tasks. The cost details are in the article how much a ChatGPT rollout costs.

When you need your own knowledge base

Assess the ready connection first, if it covers your sources and requirements. A custom app is needed for an unusual permission system, an interface for customers, special search or approval of answers. We describe the cost of such an app in the article how much an AI document assistant costs, and an example on the private ChatGPT for your company page.

At the end of the trial, measure the time to reach a checked answer, the correctness of the sources and the number of cases passed to the owner of the documentation. How to do it is described in the article on the ChatGPT pilot.

Worked example · Scenario

How we count the payback: the team's questions to documents

In the free analysis we count how many questions the team asks colleagues today, how long it takes and what access to documents in ChatGPT will change.

€3,723

a month for finding answers to 800 questions in documents

Payback: 1 mo.

Our assumptions are 8 minutes to find an answer in documents or ask a colleague, and checking in 15% of the old time. €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: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer from documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

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 I connect company documents to ChatGPT?

    For a small trial, approved copies of documents in a project are enough. For a larger set, check the connection to SharePoint or Google Drive. The features depend on the plan and the configuration, so we test on employees' accounts.

  • Will ChatGPT show an employee a document they have no access to?

    With an individual connection, the tool uses that person's access. A shared connection or an agent account may make its resources available to every user of the agent. That is why we check both access models before the start.

  • How much does ChatGPT with a company knowledge base cost?

    A ChatGPT Business licence costs $20 per person a month with annual billing and $25 with monthly billing. At Syntalith a rollout for a team of up to 10 people costs from €1,150 net. A custom app with many sources costs from €3,000 net.

  • When is ChatGPT not enough?

    When you need an unusual permission model, an interface for customers, answers from operational data such as stock levels, or approval of answers before they are sent. Then we build an AI app.

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.