Articles by Jean C Becker, founder of JBKR Web, on real technology decisions in Brazilian companies: costs, legacy systems, mobile apps and applied AI. Every article carries a date, cited sources and hands-on experience from projects since 2006.
The subject moved on from chatbots to processes: models that read, classify, fill in and execute. In practice, AI automation only returns money on processes with volume, a clear rule and a reversible error. This article covers the four places where it pays off in Brazil today, the four where it does not yet, and the cost-of-error maths almost nobody does before signing.
Asking a model about your company documents only works if the documents were read properly first. In practice, most wrong answers in RAG projects do not come from the model: they come from extraction that turned a table into alphabet soup. This article explains what RAG is, why Docling changed the reading step, how to anonymise before sending, and how to measure whether the result is any good.
After documents, the natural next question is the other half of the company: the structured data already sitting in the ERP, in finance and in the CRM. Translating a plain-language question into SQL works better than expected on tidy databases and worse than promised on real ones. This article shows what separates the two cases, why the semantic layer matters more than the model, and how to open this up without opening the database.
Since 3 August 2026, SEFAZ rejects NF-e and NFC-e from regular-regime companies without the IBS and CBS fields. In September, Simples Nacional companies choose between the standard and the hybrid model. In 2027, split payment begins. This article sums up what changed, what still changes and gives a checklist to know whether your ERP, e-commerce or invoicing system is ready.
An MVP app for Android and iOS costs between BRL 30k and BRL 120k in Brazil in 2026; apps with a complex back end, payments and integrations exceed BRL 150k. This article opens the books (what drives the price, what does not, and how JBKR Web quotes) based on 12 Android and 7 iOS projects delivered.
The AI application that returns the most money in Brazilian companies is not the chatbot: it is using language models to understand, document and test old systems in PHP, Java, .NET and COBOL. This article separates what works today from what is still a promise, and explains how JBKR Web uses AI in legacy modernization, always with human review.
Most old systems do not need a rewrite; they need an updated version, backups and a technical owner. This article gives objective criteria to decide between maintaining, modernizing in parts or rewriting, with the cost ranges practised in 2026 and the method JBKR Web has used for 20 years.