Skip to content
SSyntalith
PLEN
Book a review

Blog · Published · Updated

What is OpenClaw and when it makes sense in a company

Short answer

OpenClaw is an open-source personal AI assistant under the MIT licence. It runs on the user's device or server and links models, tools and messengers through one gateway. The code is free, and you pay for the model, the server and maintenance, about €332 a month in our scenario. In a company it makes sense when a task needs several sources checked and the next step chosen, with controlled effects.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per agent for one process, paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0
Book a free process review (30 min)

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

Open-source AI agents: statistics 2026

392,716

GitHub stars for the OpenClaw repository, MIT licence, project started on 24 November 2025. The code is free, and running it costs the model, the server and maintenance.

Figures checked: 22 October 2026

When OpenClaw makes sense

The starting point for checking features, installation and requirements is the official OpenClaw documentation. The OpenClaw Foundation runs the project under the MIT licence, with no paid plan and no hosted service. At Syntalith we use it when the assistant has to choose the next action and the environment can be isolated: we limit files and credentials, record operations and send production effects for approval.

A good and a weak candidate

  • A good candidate

    several sources, a varying path

    Analysing many documents, a dossier, work on a repository, checking sources.

  • A weak candidate

    fixed steps

    A simple form, an FAQ, lead qualification, an automation with a few states.

  • A person at the end

    material for a decision

    A proposal or a set of sources for a person to decide on.

OpenClaw, an automation or a copilot

CriterionOpenClawAutomationCopilot
Path of workVaries, the agent chooses the actionDefined in advanceA person chooses the step
ToolsFiles, a terminal, integrations in isolationActions tied to stagesFeatures of the app
Production effectPermissions, history, often a person's approvalExplicit flow rulesThe user approves

If the process is predictable and every state should be described explicitly, we more often choose an ordinary automation. OpenClaw is not automatically better than a simpler solution. It makes sense when a varying path justifies the cost of isolation and supervision. According to Gartner (2025), of the thousands of agent vendors only about 130 offer real agentic solutions, so the word „agent” proves nothing on its own.

Installation is the smallest part

Check the installation requirements in the current documentation, because Node.js versions and dependencies change quickly.

Settle these before you run it
  • Which environment it runs in and which folders, systems and secrets it can see
  • Whether it may perform a production action or only prepare it for approval
  • Where it writes its log and who reviews the exceptions
  • How you update OpenClaw without losing control
  • Where the data goes: the model, APIs, logs, backups and telemetry

The security documentation describes one trust boundary per gateway, which does not separate mutually hostile users, and the command openclaw security audit.

What a working OpenClaw setup costs

Scenario: OpenClaw for one person
Licence
€0 (MIT)
Hetzner CX23 server
€5.49
Model, 300 tasks × 10 calls, Claude Sonnet 5.5
€24.10
Maintenance 2 h a week × 4.33
8.66 h = €302
Total
€332 a month
Time recovered, 300 tasks × 5 min
25 h = €873

€541 left a month

The number of tasks, the calls (2,000 input tokens and 500 output tokens each), the minutes saved per task and the maintenance time are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Server at Hetzner's price list from 15 June 2026. Model at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

Two routes to an agent

  • You set up the agent yourself

    €0 licence

    You configure it, update it and respond to failures. For a technical person with time.

  • An agent for the team

    from €3,000 net

    Agreed tools, permissions, a history of actions, acceptance and maintenance after the start.

Your team can practise agent work on its own repository in the AI-Native course. The differences from Hermes are in the comparison of Hermes and OpenClaw, and installing it on your own server is covered in how to install OpenClaw and your own AI agent on a VPS.

This is how we implement it in companies

All case studies →

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 ↗

See the agent on your own cases before you commit.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 21, 2026.

„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.

Private AI models →

Source: OpenAI, training on data from private accounts ↗ · OpenAI, who sees conversations ↗ · Anthropic, changes for private accounts (August 2025) ↗ · OpenAI, data in API ↗ · AWS Bedrock, EU profile ↗

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

AI agents

See the agent on your own cases before you commit.

The agent takes the case through the next steps in your systems, and the actions take effect until the consent of the indicated person is obtained. A prototype for 20-100 cases that your team has already handled costs €0. We write down the purpose and test set in the contract.

See AI agents →
net per agent for one process, paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0
Book a free process review (30 min)

or call+48 888 78 48 78WhatsAppMon–Fri 9:00–17:00 CET

Questions

  • What is OpenClaw?

    An open-source personal AI assistant under the MIT licence that runs on your device or server and links models, tools and messengers through one gateway. The OpenClaw Foundation runs the project, with no paid plan and no hosted service.

  • When does OpenClaw make sense in a company?

    When the result depends on checking several sources, the assistant needs working tools and narrow permissions, and a person receives material or a proposed decision. A simple form, an FAQ or a repetitive automation work better without it.

  • How much does OpenClaw cost?

    The licence costs €0. In our scenario a Hetzner CX23 server costs €5.49, the model for 300 tasks of 10 calls about €24, and maintenance of 2 hours a week €302, about €332 a month in total.

  • OpenClaw or an ordinary automation?

    An automation, when the process has predefined steps and clear states. OpenClaw, when the path varies and the agent chooses the next action, which justifies the cost of isolation, supervision and maintenance.

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.

Write
contact@syntalith.ai
Call
+48 888 78 48 78
WhatsApp
write on WhatsApp

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.