Notes from the lab: agents, sovereign infrastructure, data, visibility and PropTech.
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How AI in manufacturing reduces defects, predicts failures, and automates processes. Implementation patterns, costs, and limitations for companies in Poland.
AI in clinics 2026: what’s allowed (registration, reminders, FAQ), what’s not (diagnosis), and how to protect patient health data under GDPR Art. 9 and the AI Act.
AI for sales teams automates meeting notes, follow-ups, and CRM updates. Concrete implementation patterns, guardrails, and limitations for Polish companies.
How to implement AI for data analysis and BI in business: from data preparation through NL2SQL to dashboards and compliance with AI Act and RODO.
AI document analysis reduces contract, report, and due diligence review from days to hours. Concrete extraction patterns, risk detection, and guardrails.
AI product description generation: how to combine LLM, structured data, and SEO to ensure results are accurate, brand-aligned, and legally compliant.
AI for content moderation automates violation detection at a scale humans can't handle. How to design a system with guardrails, human-gate, and AI Act compliance.
How AI accelerates complaints and returns in 2026: classification, eligibility checks, solution proposals, and the legal limits of automation.
How to implement AI personalization and recommendations in a company: architecture, models, GDPR and AI Act, guardrails, costs, and when ROI begins.
How AI in 2026 monitors tender announcements against company criteria and extracts requirements from RFPs — with humans making the bid/no-bid decision.
AI for translations in companies reduces the time for localizing documents, contracts, and marketing content. Architecture, quality, GDPR, and AI Act in one guide.
How AI detects fraud and anomalies in financial data, transactions, and processes: architecture, metrics, GDPR, AI Act, and human-gate.
Concrete takeaways on AI agents, sovereign infrastructure and visibility in AI models — no spam.
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