Practical writing on AI agents, LLM applications, and workflow automation for teams deciding what is worth building before they commit to code.
Receivables monitoring is an automation that watches issued invoices, matches them against incoming payments, and sends escalating reminders in your firm's tone. Implementation starts from €3,500 net. Routine reminders go out on their own; a formal demand is always approved by a human. You start with a free process scan.
RPA and an AI agent are not the same thing. RPA is a software robot that replays clicks in user interfaces, good where there is no API and the process never changes. An AI agent reads content and decides within boundaries. Between them sits plain API automation, often the cheapest and enough. You start with a free process scan.
Virtual assistant or AI agent? It is rarely either-or. A person runs the calls, the relationships, and the judgment calls. An AI agent takes the repeatable text-and-data layer, including nights and weekends, from €1,200 net to build a personal agent. You calculate the cost on your own hours, not on our promise.
What should you automate first? Start with a process that meets four conditions: it repeats, it has named rules and exceptions, it has volume, and it has a countable cost in hours. Below: the selection method, a map of nine common processes with net ranges, and an honest list of what not to automate. Automating one process starts from €3,500 net.
Who is liable for an AI agent's decisions? Toward your customer and the law, the company that deploys the agent is liable, not the model and not the model vendor. \"The AI made a mistake\" is not a defense. Since the liability is yours, you need an architecture of accountability: boundaries, an audit trail, escalations, and least privilege.
Why do AI projects fail? Because the loudest failure numbers (40%, 50%, 95%, 42%, 80%) measure entirely different things, and the panic comes from mixing them. One table sorts the sources and scopes, then the real causes, then the moment when abandoning a project is not failure but governance working as intended.
An AI agent, in plain language, is a system that performs work within boundaries, not one that only answers questions like a chatbot. A glossary of 25 terms sellers conflate: agent vs chatbot vs copilot, agent washing, MCP, RAG, human-in-the-loop, tokens. One difference sets the budget: an agent that runs a process from €6,000 net, a chatbot a fraction of that.
Retyping invoices and documents by hand eats hours every week. AI plus OCR automation reads the document, extracts the fields, validates them, and posts them into your accounting system or ERP, while exceptions go to a human. Automating one process starts from €3,500 net. You start with a free process scan.
What is an AI knowledge assistant built on RAG? It is an internal tool that answers employees' questions from your company documents and cites the source of every answer. A dedicated implementation starts from €6,000 net, simpler automation from €3,500. You start with a free process scan.
Slow quote preparation loses leads, especially the ones that arrive after hours. AI automation reads the inquiry, extracts the parameters, assembles a quote from your price list and template, and prepares the proposal to send, while a human approves the price and terms. From €3,500 net. You start with a free process scan.
AI transformation in a company is a three-stage path: one process (automation from €3,500 net), a department (an agent from €6,000 net), and the company (training from €1,200 net per day, an AI policy, maintenance). You start with one measurable process, not a revolution. The first step is a free process scan.
How much does a custom AI app cost in Poland in 2026? A dedicated AI app is a project implementation: simple process automation from €3,500 net, an AI MVP typically €6,000–35,000 net. The price depends on integrations and scope, not the label. You start with a free process scan.
Deploying Claude in a company is not buying a licence. It is wiring the Anthropic model into a specific process, with boundaries and a trail. Dedicated automation from €3,500 net, an agent from €6,000, plus variable token cost. Inside: Claude vs ChatGPT, GDPR, and when a ready Team plan is enough. You start with a free process scan.
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.
How long does an AI agent implementation take? Typically 2–6 weeks, from a free process scan to production with auto-send. The time depends on access, data quality, and how fast you decide, not on the model. The scan costs €0, and you pay for the full build only once the pilot hits the written goal.
How much does AI process automation cost in 2026? Automating one business process starts from €3,500 net (typically €3,500–9,000), and an agent that runs a whole process from €6,000. You calculate ROI on your own numbers, not on our promise. You start with a free process scan.
Is OpenClaw free? Yes, the license is €0 (open source under MIT). But a working agent costs money: the model (tokens), the server (a VPS from about €5 a month), and your time on boundaries and maintenance. We break three typical setups down into real numbers.
n8n vs Make: n8n is self-hostable under a fair-code license and billed per full workflow execution, while Make is a cloud SaaS billed per individual operation. Six differences that actually matter when choosing, and the one boundary where neither is enough. As of July 2026.
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.
Vibe coding means describing a task in plain language and letting an AI model write the code. Andrej Karpathy coined the term on 2 February 2025, and Collins named \"vibe coding\" its Word of the Year 2025. It is a great way to build a prototype and a poor way to build a system that has to run in production a year later. We explain where a demo ends and agentic work begins, with boundaries, tests, review, and a trail, and when vibe coding turns dangerous.