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OpenClaw, ChatGPT, or Copilot: choose by operating model

Short answer

Choose ChatGPT for conversation, analysis and material a person judges. Copilot suits work in an editor, an office suite or a CRM. OpenClaw makes sense when the system goes through several steps on files and tools in a restricted environment. ChatGPT Business costs $20 per person with annual billing. OpenClaw has a €0 licence, but needs a server, a model and care.

net for implementation for a team of up to 10 people, paid once
from €1,150
from start to work of the entire team
2 weeks
after this time, we measure the effect on the same tasks
30 days
conversation with an engineer and a written plan within 2 business days
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: a report from PDF and XLS files
Agent · ready

Statistics

AI tools at work: statistics 2026

$20

per person a month for ChatGPT Business with annual billing. OpenClaw: a €0 licence, but the server, the model and the care are on your side.

Figures checked: 22 October 2026

The comparison in one table

NeedUsually enoughWho leads the workMain risk
Writing, analysis, summariesChatGPT or ClaudeA personPasting the wrong data, using answers without judgement
Help in the app you useCopilot in that appA personToo wide access to context and documents
A fixed process with set stepsAutomationThe system, by rulesAn error in a rule or in exception handling
An open task with files and toolsOpenClaw in an isolated environmentAn agent within set limitsCredentials that are too wide, no history of actions

One tool can combine several ways of working. ChatGPT calls tools, and Copilot takes actions. Judge the real scope of action, whatever the product is called.

An example: moving fields from a form into the CRM is a plain automation. Analysing a set of documents, finding gaps and preparing a pack for a decision can justify an agent. In both cases writing to a system should be controlled according to the consequences of an error.

What it costs

Three ways to buy
  • ChatGPT Business

    $20

    Per person a month with annual billing, $25 with monthly billing. The vendor runs the service.

  • Copilot

    by plan

    The price depends on the market, the base plan and billing. You check it in the company tenant on the day you buy.

  • OpenClaw

    €0 licence

    A server from €5.49, the model by usage and care time. 2 hours a week is about €302 a month.

Compare the cost over the same horizon and for the same work: licences, rollout, people's time, upkeep and the risk of error. OpenClaw costs are covered in detail in the article is OpenClaw free. For Copilot, also count the base Microsoft 365 plan the licence sits on, as the article on the full Copilot budget does.

ChatGPT: a person leads the work

ChatGPT suits work that ends with a text, an analysis or a recommendation. The employee describes the task, checks the answer and decides on the next step. That is often enough. The company then needs rules for working with data, a list of approved tools and the skill to judge the result.

Copilot: help in the app you use

Copilot works closer to the task. It uses the context of the editor, the document, the mailbox or the repository, depending on the product and the configuration. The employee usually stays the operator: opens the case, asks for help, judges the result and approves the action. We describe a Microsoft 365 rollout on the team training page.

OpenClaw: an agent on your server

OpenClaw is an open assistant under the MIT licence. It works on files, in the terminal, the browser and connected tools, so it suits tasks where the next step depends on what it found earlier. An example: it checks for gaps in a document pack, compares versions and prepares a dossier. A person approves sending, a data change or a commitment.

More autonomy needs stronger safeguards: a separate account, minimal credentials, limited access to files and a record of operations. The scope of a rollout is described in the guide OpenClaw for business.

Five questions before you choose

The answers become the requirements
  1. 01What result should come out?A draft, a recommendation, an entry in a system or a series of actions.
  2. 02Who leads the task?An employee, a process rule or an agent choosing the next action.
  3. 03What data is needed?Public sources, company documents, customer data or a transactional system.
  4. 04Which consequence needs approval?Sending a message, changing data, publishing or a payment.
  5. 05What history must remain?Sources, tools used, the person's decision and the cost of the operation.

The decision for a company

Start with the smallest solution
  • A person needs an analysis or a first draft of material

    ChatGPT or Claude for the team

    from €1,150

  • Help has to appear in the app you use

    Copilot

    by plan

  • The process steps are fixed

    automation

    from €3,000

  • The task has several steps and the path depends on the content

    an agent, for example OpenClaw

    from €3,000

In the free process review we check whether an agent adds value, or whether a simpler solution is enough.

„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 →

Price

Three packages. You know the price right away.

  • Team of up to 10 people

    from €1,150

    net, paid once · 2 weeks

  • Company, from 11 to 40 people

    from €2,300

    net, paid once · 3–4 weeks

  • Organization, over 40 people

    from €4,600

    net, paid once · 6–8 weeks

  • The same packages once you have licenses. To start, an inspection of the space in 1 day is enough: €450 net.
  • You buy ChatGPT Business licenses directly from OpenAI, without our margin: USD 20 per person per month for an annual payment or USD 25 for a monthly payment for 2 people.

From conversation to measurement

  1. 01 · 30 min

    Free process review€0

    An engineer picks 3 to 5 of your team's tasks with you. Written plan within 2 working days.

  2. 02 · 2 weeks

    Rolloutfrom €1,150

    Accounts and roles, rules for working with data, training on your team's tasks. You buy licences directly from the provider.

  3. 03 · after 30 days

    Measurementincluded

    We compare task times before and after. We name in writing the tasks worth handing to a system.

Worked example · Scenario

How we count the payback: board meeting notes

We run the same count for your team's tasks: how many there are, how long they take, what the licences cost.

€1,309

a month for writing notes after 50 meetings

Payback: 1.4 mo.

Our assumptions are 45 minutes for the note from a board meeting and the update of the task list, and checking in 25% 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. Licence: ChatGPT Business or Claude Team at 20 USD per person a month on annual billing, about €17.85 at the ECB rate of 1.1205 USD per euro on 22 October 2026. We count the whole licence against notes here, although the team also uses it for other work. Rollout: from €1,150 for up to 10 people, from €2,300 for 11 to 40 people.

See the full calculation →

Questions

  • How does OpenClaw differ from ChatGPT?

    In ChatGPT a person leads the work and judges the result. OpenClaw runs on your server, uses files, the terminal and the browser, and chooses its next steps by itself within set limits. More autonomy needs a separate account, minimal permissions and a history of actions.

  • Which is cheaper: OpenClaw or ChatGPT?

    The OpenClaw licence costs €0, ChatGPT Business $20 per person with annual billing. OpenClaw needs a server, a model and care, though, and 2 hours of care a week is about €302 a month. Compare the same period and the same work.

  • When should we choose Copilot?

    When help has to appear in the app the employee already works in: Word, Excel, Outlook, Teams or an IDE. Check the context sources, the scope of permissions and data retention in the company tenant.

  • Where should a company start?

    With the smallest solution that gives the result you need. A ChatGPT or Claude rollout for a team of up to 10 people costs from €1,150 net at Syntalith, and an agent for one process from €3,000 net.

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 ↗

Your team works in ChatGPT or Claude after 2 weeks.Book a free process review (30 min) →

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.