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Bielik is an open family of Polish language models from SpeakLeash and ACK Cyfronet AGH, released entirely under Apache 2.0, so it is free to use commercially. The 11B variant at 4-bit fits on a single 24 GB card. Implementations start from €3,500 net.
What does it actually take to run Bielik or PLLuM in-house? A GPU with enough VRAM, an inference stack, an Article 28 data processing agreement if you host with a provider, and a maintenance budget. An 11–12B model at 4-bit fits in roughly 7 GB of VRAM, while PLLuM's own sizing table asks for about 48 GB for the same class of model. This piece explains where that gap comes from.
PLLuM is a family of open Polish language models developed by a consortium led by NASK PIB. Some variants ship under Apache 2.0 and are free to use commercially, others are research-only. A deployment on your own infrastructure starts from €3,500 net, and the first step is a free process scan.
PLLuM and Bielik are two families of Polish language models you can download and run on your own server. Some PLLuM variants carry a non-commercial licence; every Bielik variant checked is Apache 2.0. This piece settles what you may deploy, on what hardware, and when an API model is still the better call.
A Polish model (Bielik, PLLuM) on your own infrastructure or a frontier API model (Claude, GPT, Gemini)? The decision is made per process, and four things settle it: data constraints, task difficulty, volume, and who maintains the infrastructure. Implementations start from €3,500 net, beginning with a free process scan.
Is Claude GDPR compliant? Yes, when configured properly: Anthropic offers a data processing agreement with standard contractual clauses, and API and business-plan data is not used to train models by default. EU data residency, however, depends on the access route you buy. See which route processes inside six EU regions and which offers no EU option at all.
A model should not decide the scope of law. In this AI Act register, rules in code select the relevant articles before the model drafts anything, and our own system appears in the same register.
Removing restricted citations from a finished answer is too late if the document already entered the model's context. This knowledge base enforces access in two layers before generation.
An AI agent for translation only makes sense once translation is a process, not a one-off task. For a single text, today's models and off-the-shelf tools translate beautifully and we say so plainly. Our work begins at hundreds of product descriptions a month across languages, with a company glossary, brand tone, and an automatic flow. You start with a free process scan.
An AI agent for email treats the shared inbox (office@, sales@) as a process: it classifies, extracts data, drafts replies for approval, escalates exceptions, and leaves a trail. Automation from €3,500 net, an agent that runs the process from €6,000. You calculate the hours triage costs on your own numbers. You start with a free process scan.
Automatic meeting notes are best bought off the shelf: transcription and summaries built into Teams and Meet, or a dedicated AI notetaker, are a good purchase and we say so plainly. Our work begins where the note has to become a task in Jira, a follow-up in your CRM, or a decision in a register, with a rule for what is created automatically and what waits for approval. You start with a free process scan.
Looking for a company AI policy template? A copied template is exactly what fails. A working policy is short, specific to your real tools and data, and enforced. Employees already use AI, usually on private accounts, so a blanket ban just makes it invisible. See what an employee AI policy actually needs to contain.
Is ChatGPT safe for company data? It depends on the account and the data class, not on the tool itself. On a business plan with a data processing agreement, the vendors do not train models on your data by default, and a private account gives you no contract and no control. See which data you may enter and which you never should.
Before AI touches company data you need at least three things: a data processing agreement (DPA, art. 28 GDPR) with every vendor that sees personal data, a defined processing location, and a clear rule on what may leave the company. This is an informational guide, not legal advice.
n8n is a fair-code workflow automation platform: self-host it for the cost of a server, or use n8n Cloud from €20 a month. We explain what it does, who it is for, the GDPR edge of self-hosting, and where a workflow ends: exactly where a decision and an exception begin. You start with a free process scan.
An AI agent can keep runtime state and data at rest on a VPS you control. Model APIs, telemetry, backups, and integrations still determine where processing occurs. Our managed personal-agent service starts at PLN 4,900 net.
Article 4 has applied since 2 February 2025. AI providers and deployers must take context-appropriate steps to support AI literacy among staff and other people operating or using systems on their behalf. Records are evidence of those steps, not automatic proof of compliance. Training starts at €1,200 net per day.
OpenClaw is open source, so the software itself is free. You pay for model tokens, a server, and someone's time to configure and supervise it. This guide states plainly what the requirements are, what it really costs, when OpenClaw is the wrong choice, and how we run it for clients as a personal operator on their own infrastructure.
AI can help finance teams triage alerts, draft investigation packets, and reduce manual noise. It should support compliance officers, not auto-close regulated decisions.
How debt collection teams use AI voicebots for reminders, inbound account service, payment-plan intake, and better documentation without positioning AI as an unsupervised collections process.