<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Futura AI — Insights</title><description>Analysis, method and real cases on adopting AI in the enterprise: what we learn working on our clients’ processes.</description><link>https://www.futuraaigroup.com/</link><language>en-us</language><copyright>2026 Futura AI</copyright><item><title>It&apos;s not the model. It&apos;s the data.</title><link>https://www.futuraaigroup.com/en/blog/its-not-the-model-its-the-data/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/its-not-the-model-its-the-data/</guid><description>In most AI projects the bottleneck isn&apos;t the model but the state of the company&apos;s documentation: what can be cleaned up during the project and what can&apos;t.</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate><category>RAG</category><category>Method</category><category>Data</category></item><item><title>What RAG actually means, explained without acronyms</title><link>https://www.futuraaigroup.com/en/blog/what-rag-actually-means/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/what-rag-actually-means/</guid><description>What RAG (Retrieval Augmented Generation) actually means: how it works in three steps, why source citation is decisive in a regulated context, and where it falls short.</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate><category>RAG</category><category>Method</category></item><item><title>Chatbot or AI system? The difference that determines the return</title><link>https://www.futuraaigroup.com/en/blog/chatbot-or-ai-system/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/chatbot-or-ai-system/</guid><description>A chatbot answers. An AI system integrates with company data and processes and produces a measurable result. The distinction sounds terminological. It isn&apos;t.</description><pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate><category>Method</category><category>ROI</category></item><item><title>Why most AI projects stall at the demo</title><link>https://www.futuraaigroup.com/en/blog/why-most-ai-projects-stall-at-the-demo/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/why-most-ai-projects-stall-at-the-demo/</guid><description>A demo convinces in twenty minutes. A system has to work every day for years. The distance between the two is the real project.</description><pubDate>Sun, 02 Aug 2026 00:00:00 GMT</pubDate><category>Method</category><category>Production</category></item><item><title>What to ask an AI vendor before signing</title><link>https://www.futuraaigroup.com/en/blog/what-to-ask-an-ai-vendor-before-signing/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/what-to-ask-an-ai-vendor-before-signing/</guid><description>You can tell a good vendor by the questions they ask about your process, not the technologies they list. Four areas that decide how a project turns out.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><category>Method</category><category>Compliance</category></item><item><title>Prompt engineering isn&apos;t an individual skill, it&apos;s a design layer</title><link>https://www.futuraaigroup.com/en/blog/prompt-engineering-is-a-design-layer/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/prompt-engineering-is-a-design-layer/</guid><description>Writing a good instruction helps one person. Designing a system&apos;s instructions is what makes the result repeatable, and it needs versioning, testing and governance.</description><pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate><category>Architecture</category><category>Method</category></item><item><title>Adopting AI without rewriting your processes</title><link>https://www.futuraaigroup.com/en/blog/adopting-ai-without-rewriting-your-processes/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/adopting-ai-without-rewriting-your-processes/</guid><description>The fastest way to fail an AI project is to start from the technology. Our method starts from the process that already works.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>Method</category><category>Processes</category></item><item><title>How to build an AI roadmap in a complex organization</title><link>https://www.futuraaigroup.com/en/blog/how-to-build-an-ai-roadmap/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/how-to-build-an-ai-roadmap/</guid><description>A credible roadmap doesn&apos;t list technologies: it lists processes in an order that accounts for real dependencies, and lets you check whether you actually got there.</description><pubDate>Mon, 27 Jul 2026 00:00:00 GMT</pubDate><category>Method</category><category>Integration</category></item><item><title>Beyond text: where Speech AI and Vision AI solve real problems</title><link>https://www.futuraaigroup.com/en/blog/beyond-text-speech-ai-and-vision-ai/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/beyond-text-speech-ai-and-vision-ai/</guid><description>Not all company information is written down. Call transcription, technical drawing reading and visual inspection in production: where these work today, and under what conditions.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate><category>Architecture</category><category>Industry</category></item><item><title>Case study: extracting structured data from documents with no fixed format</title><link>https://www.futuraaigroup.com/en/blog/case-study-extracting-structured-data-from-documents/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/case-study-extracting-structured-data-from-documents/</guid><description>Different documents, same information every time: how a data-extraction project defines what to automate and, more importantly, what to leave out.</description><pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate><category>Data</category><category>Industry</category></item><item><title>AI doesn&apos;t replace people: it redesigns processes around them</title><link>https://www.futuraaigroup.com/en/blog/ai-doesnt-replace-people-it-redesigns-processes/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/ai-doesnt-replace-people-it-redesigns-processes/</guid><description>In projects that work, the job doesn&apos;t disappear — the part nobody wanted to own does. The line between task and role decides whether a project gets adopted or quietly bypassed.</description><pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate><category>Method</category></item><item><title>Data security in AI projects: seven questions to ask your vendor</title><link>https://www.futuraaigroup.com/en/blog/seven-questions-to-ask-your-ai-vendor-about-security/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/seven-questions-to-ask-your-ai-vendor-about-security/</guid><description>In organizations with high compliance requirements, security isn&apos;t a contract clause: it&apos;s a selection criterion to verify upfront, in writing.</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate><category>Security</category><category>Compliance</category></item><item><title>Quoting and procurement: where AI moves the margin</title><link>https://www.futuraaigroup.com/en/blog/quoting-and-procurement-where-ai-moves-the-margin/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/quoting-and-procurement-where-ai-moves-the-margin/</guid><description>Quoting looks like judgment work, but the part that eats most of the time is reading and transforming documents. That&apos;s where response speed and margin are decided.</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate><category>Industry</category><category>Method</category></item><item><title>Vector databases and knowledge graphs: two ways to represent knowledge</title><link>https://www.futuraaigroup.com/en/blog/vector-databases-and-knowledge-graphs/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/vector-databases-and-knowledge-graphs/</guid><description>One finds what&apos;s similar. The other finds what&apos;s connected. How to choose between semantic search and a relationship graph, and when a hybrid architecture is worth it.</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate><category>Architecture</category><category>Data</category></item><item><title>How to evaluate an AI system before it goes into production</title><link>https://www.futuraaigroup.com/en/blog/how-to-evaluate-an-ai-system-before-production/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/how-to-evaluate-an-ai-system-before-production/</guid><description>The question isn&apos;t whether the system works, but on which cases, with what margin of error, and who verified it. How to build a test set, which metrics to use, and why you need a human baseline.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate><category>Method</category><category>Production</category></item><item><title>The cost nobody budgets for: maintaining an AI system</title><link>https://www.futuraaigroup.com/en/blog/the-cost-of-maintaining-an-ai-system/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/the-cost-of-maintaining-an-ai-system/</guid><description>The first release is the cheapest part. Models, documents and processes keep changing: what to budget and put in the contract so you aren&apos;t caught off guard by the silent decay of an AI system.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><category>Production</category><category>Method</category></item><item><title>Five public-sector tasks you can automate today</title><link>https://www.futuraaigroup.com/en/blog/five-public-sector-tasks-you-can-automate-today/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/five-public-sector-tasks-you-can-automate-today/</guid><description>You don&apos;t need multi-year projects for a measurable effect: repetitive, documented, high-volume processes are enough. Five concrete tasks for public agencies, with prerequisites and indicators for each.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate><category>Public Sector</category><category>Method</category></item><item><title>AI governance: who is accountable when the system gets it wrong</title><link>https://www.futuraaigroup.com/en/blog/ai-governance-who-is-accountable/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/ai-governance-who-is-accountable/</guid><description>Before asking whether AI can do something, an organization has to establish who answers for it when it does it badly. The minimum roles, documentation and system registry needed, even with limited resources.</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><category>Compliance</category><category>Method</category></item><item><title>The AI that talks to your business systems: integrating with ERP, CRM and records management</title><link>https://www.futuraaigroup.com/en/blog/integrating-ai-with-erp-crm-and-records-management/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/integrating-ai-with-erp-crm-and-records-management/</guid><description>An AI system that doesn&apos;t access operational data stays a demo. The value comes from integrating with ERP, CRM and records management — and it&apos;s the line item most often underestimated in initial estimates.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate><category>Integration</category><category>Architecture</category></item><item><title>Hallucinations aren&apos;t an unpredictable flaw: they can be governed</title><link>https://www.futuraaigroup.com/en/blog/hallucinations-can-be-governed/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/hallucinations-can-be-governed/</guid><description>A language model produces the most probable continuation of a text: without a source, it invents one plausibly. Hallucinations aren&apos;t a flaw to wait out — they&apos;re a structural property that&apos;s governed through the right architecture.</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate><category>Security</category><category>Compliance</category></item><item><title>PNRR and EU funds: AI-assisted document monitoring</title><link>https://www.futuraaigroup.com/en/blog/pnrr-and-eu-funds-document-monitoring/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/pnrr-and-eu-funds-document-monitoring/</guid><description>Reporting on PNRR funds isn&apos;t a question of willingness but of document volume and deadlines. AI-assisted control moves verification from the end of the process to the moment of upload, when fixing an issue still costs little.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate><category>Public Sector</category><category>Compliance</category></item><item><title>Enterprise search: why employees can&apos;t find what the company already knows</title><link>https://www.futuraaigroup.com/en/blog/enterprise-search-why-employees-cant-find-answers/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/enterprise-search-why-employees-cant-find-answers/</guid><description>Traditional enterprise search looks for words; people look for answers. The gap between the two is measured in minutes lost every day, and in an archive people stop consulting.</description><pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate><category>Data</category><category>Security</category></item><item><title>Fine-tuning or RAG: an architecture choice, not a trend</title><link>https://www.futuraaigroup.com/en/blog/fine-tuning-or-rag/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/fine-tuning-or-rag/</guid><description>Fine-tuning and RAG solve two different problems, not two degrees of the same problem. Confusing them, choosing based on budget rather than need, is the most frequent cause of expensive, low-value projects.</description><pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate><category>Architecture</category><category>Method</category></item><item><title>Why a few weeks of assessment are worth more than a year of experiments</title><link>https://www.futuraaigroup.com/en/blog/why-a-short-assessment-beats-a-year-of-experiments/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/why-a-short-assessment-beats-a-year-of-experiments/</guid><description>Experimenting without a criterion produces enthusiasm and no decision. A few weeks of assessment produce a list of processes ranked by value and feasibility, and the discipline to exclude what isn&apos;t ready.</description><pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate><category>Method</category></item><item><title>Manuals, bills of materials and technical support: the knowledge the company already has</title><link>https://www.futuraaigroup.com/en/blog/manuals-boms-and-technical-support/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/manuals-boms-and-technical-support/</guid><description>In many manufacturing companies the technical knowledge already exists, but it&apos;s scattered across PDFs, paper revisions and people close to retirement. The problem isn&apos;t producing it: it&apos;s making it queryable before the people who hold it are gone.</description><pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate><category>Industry</category><category>Data</category></item><item><title>KYC, AML and due diligence: where generative AI actually saves time</title><link>https://www.futuraaigroup.com/en/blog/kyc-aml-and-due-diligence-where-generative-ai-saves-time/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/kyc-aml-and-due-diligence-where-generative-ai-saves-time/</guid><description>In verification processes, time is spent reading heterogeneous documents, not on the final decision. Where generative AI actually saves time in due diligence, and why traceability is a requirement, not a nice-to-have.</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate><category>Finance</category><category>Compliance</category></item><item><title>On-premise or cloud: how to decide when data is sensitive</title><link>https://www.futuraaigroup.com/en/blog/on-premise-or-cloud-how-to-decide-when-data-is-sensitive/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/on-premise-or-cloud-how-to-decide-when-data-is-sensitive/</guid><description>The right question isn&apos;t which infrastructure is more secure, but which perimeter you&apos;re able to govern and demonstrate. The real criteria for choosing between on-premise, dedicated cloud and public cloud when data is sensitive.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate><category>Architecture</category><category>Security</category></item><item><title>How to measure the return on a generative AI project</title><link>https://www.futuraaigroup.com/en/blog/how-to-measure-the-return-on-a-generative-ai-project/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/how-to-measure-the-return-on-a-generative-ai-project/</guid><description>An AI project with no indicator defined before it starts will never have a demonstrable result at the end. How to build an honest baseline and tell adoption indicators apart from return indicators.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><category>Method</category><category>Data</category></item><item><title>Document intelligence in public administration: from the protocol system to administrative determinations</title><link>https://www.futuraaigroup.com/en/blog/document-intelligence-in-public-administration/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/document-intelligence-in-public-administration/</guid><description>Preparing a case isn&apos;t deciding it: a system can read, classify and prepare a file, but the signature and the responsibility stay with the official. Where document intelligence actually saves time in public administration.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><category>Public Sector</category><category>Production</category></item><item><title>Agentic AI: when a system stops answering and starts acting</title><link>https://www.futuraaigroup.com/en/blog/agentic-ai-when-a-system-starts-acting/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/agentic-ai-when-a-system-starts-acting/</guid><description>An assistant suggests, an agent acts: it reads, writes, decides the next steps. The question that matters isn&apos;t what an agent can do, but where it has to stop.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><category>Architecture</category><category>Method</category></item><item><title>AI Act: what changes in practice for companies introducing AI</title><link>https://www.futuraaigroup.com/en/blog/ai-act-what-changes-in-practice/</link><guid isPermaLink="true">https://www.futuraaigroup.com/en/blog/ai-act-what-changes-in-practice/</guid><description>The Regulation doesn&apos;t ban artificial intelligence: it asks you to know what a system does, on what data, and who answers for it. What actually changes after the delay set by the Digital Omnibus, and why it&apos;s no reason to delay the work.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><category>Compliance</category><category>Method</category></item></channel></rss>