AI section
AI in business — verified news, analysis and case studies
We collect what matters about artificial intelligence for businesses: changes in models and regulation, costs, risks and documented implementations. Every figure and every claim is backed by a source — a peer-reviewed study, official statistics, a legal text or an official vendor publication. Forecasts are labelled as forecasts.
Latest
EU AI Act timeline: what businesses must do after the 2026 changes
The EU AI Act step by step: what has applied since 2025, what applies from December 2026 and what only from 2027 and 2028 after the Digital Omnibus, plus fines.
How much does AI implementation cost? What drives the cost and how to calculate it
AI implementation cost for a business: what the cost consists of, why tokens are a small share, how to cut model costs and why projects stall before production.
AI in business: 2025 statistics and forecasts to 2030 for Poland, Germany and the EU
How many companies use AI: Eurostat, GUS and Destatis data for 2023–2025 for the EU, Poland and Germany, adoption barriers and EC and OECD forecasts to 2030.
AI agents in business: what they are, what they can do and how to deploy them safely
AI agents in business: how they differ from a chatbot, how fast their capabilities grow, how many firms use them, the risks, and deployment with human control.
AI model comparison for business: prices, context and EU data processing (October 2026)
Business AI model comparison, October 2026: API prices per million tokens, context window, EU data and licences for Claude, GPT, Gemini, Mistral and DeepSeek.
Sections
Analysis
In-depth analyses of one topic: costs, risks, architecture and regulation — with footnotes to studies, official statistics and legal texts.
Comparisons
Comparison tables of models, tools and approaches — always with an as-of date and sources from vendors or research.
Case studies
Documented AI implementations in businesses: problem, solution and impact — from cited sources and our own anonymised projects.
Forecasts
Estimates of how AI will develop in business. Every statement is labelled as a forecast, with its author, time horizon and date.
Our AI implementations
Aperio — a system that measures, prioritises and ships content
Multi-brand AI platform for SEO/AEO/GEO: measurement, prioritisation, content production and publishing in one loop — the work usually outsourced to an agency or a hire, done by agents. Designed, built and maintained by Primessio.
A system for testing and validating investment strategies on the markets
Tests strategies on the markets (crypto, FX, indices): signals from the real market → backtest and paper‑trading → evidence validation → automated execution under risk control. Only a strategy with a confirmed edge goes live. Designed, built, deployed and maintained by Primessio — one of many applications we have shipped.
Want to bring AI into your business?
We show which processes AI agents can automate, what they cost to run and which risks need to be addressed — before the first line of code is written.