AI Business Center Foundation
Artificial intelligence that delivers measurable results and makes your company more competitive
The AI Business Center Foundation is a think tank and advisory partner that helps the boards of construction, industrial and technical-services companies adopt artificial intelligence so that it delivers measurable results and builds competitive advantage. First we show where AI will cut costs, save time or grow sales. Then we measure the result and lead the implementation on the board's side.
AI is no longer a curiosity. It has become a line in the profit and loss account
The boards of construction and industrial companies no longer ask whether to use artificial intelligence. They ask what it costs, what it delivers in figures and whether the company is on the right side of the rules. The AI Business Center Foundation answers these three questions.
We work with companies in the real economy: general contractors, building-services contractors, prefabrication manufacturers, manufacturing plants, operators in logistics, on-site energy and utilities, and facility management, design offices, and technology providers serving these sectors.
What the board sees when it looks at the figures
Employees use generative AI tools more and more often, but the company does not see it in its results. According to McKinsey, The State of AI 2026, 8 in 10 employees see time savings from GenAI; only 4 in 10 companies see an impact on operating profit (EBIT).
The gap does not close by itself. A study by BetterUp Labs and the Stanford Social Media Lab from September 2025 found that 4 in 10 office workers received AI-generated content in the past month that they had to fix or reject. A document written faster comes back to its sender as extra work.
Poland is starting from a low base. According to Eurostat (data for 2025), 8.4% of Polish companies with 10+ employees use AI, against around 20% on average in the EU. The market’s delay opens a window: companies that put their processes in order now do not have to repeat other people’s mistakes.
AI generates, semantics organises, BI accounts
Language models produce ever more content. The board needs numbers. Between the two sits the layer we build: names, owners and definitions that make work with AI measurable.
We call this work semantic transformation: organising a company’s names, processes and data so that people, language models and board reports understand them the same way. We do not implement BI tools. We define what to measure and how; the dashboard is built by the company’s IT department or a partner it designates. The whole route, from AI use to the measures in the board report, is described on the From AI to BI page.
4 pillars of support
- AI audit and strategy: where AI has a business case, and where it is better not to implement it.
- Semantic transformation and implementation: from team competence to the AI value report for the board.
- AI Act and ESG compliance: what applies today, what has a date, what concerns the company and what does not.
- Grants and funding: matching the project to public programmes and preparing the application.
The full scope of services, including the AIBC Certification Path, GenAI competence, data sovereignty and private AI instance and brand research in language models, is set out on the How we help page.
The 4 levels: from competence to results
Semantic transformation has four levels. Each has a different buyer, a different budget and a different artefact that stays in the company.
- Competence: people understand how generative AI works and what rules apply to working with data.
- Naming: processes in each department are named and described, and every department has a process translator.
- Linking: the company has a shared vocabulary, data owners and definitions of measures across departments and tools.
- Value measurement: every quarter the board receives an AI value report covering five groups of measures.
The entry point is the 30-day readiness assessment, which shows which level the company is on and where to begin.
The law: what applies today and what has a date
The AI Act, Regulation (EU) 2024/1689, as amended by Regulation (EU) 2026/1744, known as the AI Omnibus, has applied in general since 2 August 2026, including the transparency obligations of Art. 50. The next dates:
| date | what starts to apply |
|---|---|
| 2 December 2026 | end of the transition period for machine-readable marking of content by providers of AI tools |
| 2 August 2027 | obligations of providers of general-purpose AI models placed on the market before 2 August 2025 |
| 2 December 2027 | obligations for high-risk systems under Annex III |
We bring order, not alarm. The details, including what the rules do not require, are set out in the analysis AI Act in communication and sales.
Positions and analysis
We publish signed and dated analysis of the market, technology and law.
Frequently asked questions
What does the AI Business Center Foundation do?
We advise the boards of construction, industrial and technical-services companies that want artificial intelligence to deliver a measurable effect and comply with the law. Our work covers audit and strategy, semantic transformation, preparation for the AI Act, securing funding and competence development. We publish signed analysis of the market and the law.
Does the Foundation sell software or licences?
No. The Foundation is vendor-neutral: we do not sell licences or implementations. We act on the board’s side — we help choose the contractor, prepare requirements and criteria, run the procurement procedure or tender, and assess bids and contractor quality. The board makes the decision. We describe processes, define measures and prepare a brief from which the company's IT department, or a partner it designates, builds the solution.
Where does the work begin?
With a conversation, and in most cases with the 30-day readiness assessment. The assessment ends with one recommendation for the board: implement, organise first, or stop. We start further stages only where the assessment has shown a process, an owner and a measurable effect.
Let’s start with a conversation
An hour’s conversation with the board is enough to establish whether the company needs an assessment, order in its processes or preparation for the rules. Arrange a conversation.