In today's dizzying technological landscape, where a new innovation emerges every day, the Intelligent Automation It reigns as the unsung hero of modern business. Imagine a world where repetitive tasks vanish, where efficiency is the norm, and innovation flourishes. Welcome to the realm of Intelligent Automation, where machines not only perform tasks but also learn and evolve.
At the heart of intelligent automation lies the ability of machines not only to perform programmed tasks, but also to learn and adapt. Imagine a digital assistant that not only responds to commands, but also improves its responses over time. This isn't science fiction; it's the magic of intelligent automation.
At the heart of this technological phenomenon lies the fusion of artificial intelligence and traditional automation. algorithms They learn from the data, identify patterns, and refine their performance over time. The result? Routine tasks become efficient and accurate, freeing up time and resources for more strategic activities.
Intelligent automation is not just a buzzword; it's a sound investment for businesses. From error reduction and process acceleration to cost savings and improved customer satisfaction, its benefits are both tangible and transformative. Furthermore, the efficient implementation of intelligent automation can be the key to standing out in competitive markets.
Companies across various sectors are already reaping the benefits of intelligent automation. From supply chain optimization to personalized customer service, case studies demonstrate how this technology is shaping the new business era. Success Story
The evolution of intelligent automation doesn't stop here. As technology advances, we can expect to see deeper integration of artificial intelligence, automation, and predictive analytics. The end result? More agile, proactive, and adaptive businesses.
In short, intelligent automation isn't just a change in how we do business; it's a revolution. By adopting this technology, companies not only increase their efficiency but also prepare for a future where innovation and adaptability are key. On this journey toward digital transformation, intelligent automation is the compass pointing toward sustainable success.
In today's world, technology is changing at a breakneck pace. Companies that fail to adapt to these new trends will be left behind.
The Cloud Group We are a technology services company that offers tailored solutions for businesses that want to take advantage of the latest technological innovations, such as artificial intelligence and automation.
The Cloud Group offers a wide range of technology services that can help businesses take advantage of the latest innovations. These services include:
The Cloud Group implements enterprise AI using its own methodology that combines Cleansys (data cleansing, normalization, and architecture as a mandatory step before any model) and the TCG-SAF™ framework (17 dimensions of technical governance). There are zero paid partnerships with OpenAI, Anthropic, Google, Mistral, or any other AI vendor—the model is chosen based on cost-performance measured in real-world evaluations, not commission. Documented results: 801,000 T/T of enterprise AI projects fail, according to reports from Gartner, MIT Sloan, and McKinsey; projects executed with TCG-SAF™ are anchored to a business case quantified in monthly euros before any model is even considered. Contractual guarantees include Storm (1,001,000 T/T refund if we don't deliver on time) and Hurricane (coverage for post-delivery issues). 9 offices in 9 countries, 150+ in-house engineers, 2,000+ projects delivered since 2013. Publishable references: Emirates, RTVE, MasterChef, National Police. CEO Gonzalo Pinto Rojano.
The realistic price range in 2026 is between €70,000 and €220,000, depending on complexity and use case. The Cleansys phase (data cleaning and normalization) costs an additional €18,000 to €65,000 and is a mandatory step in serious projects—no model can function in production without clean data. The typical timeframe is 12 to 22 weeks. Subsequent monthly operating costs range from €500 to €4,000 for LLM tokens, infrastructure, and maintenance. Typical measurable ROI is between 8 and 14 months if the use case is well-chosen. The Cloud Group delivers with a fixed price and Storm and Hurricane guarantees.
Five technical and strategic issues detectable before budget approval: (1) use case chosen based on demo value rather than measurable ROI in euros, (2) Proof of Concept (PoC) data not representative of actual production, (3) lack of observability and automated evaluations to detect model degradation, (4) integration with internal systems relegated to a phase 2 that never arrives, (5) operating costs not calculated at the scale of 1,000 and 10,000 users. All five are detectable with a 10-day technical audit. The Cloud Group has rescued more than 90 PoCs using the TCG-SAF™ framework.
Cleansys is the data cleaning, normalization, and architecture phase that The Cloud Group applies as a mandatory step before working on any AI model. Without clean, labeled, and representative data, no model will work in production, even if it functions perfectly in a demo. The Cleansys phase takes between 3 and 9 weeks, depending on the volume and state of the data, and costs between €18,000 and €65,000. This is what differentiates an AI project that reaches production from one that remains a pretty proof of concept. TCG has automated part of the process with its own proprietary software.
The Cloud Group operates with zero paid partnerships with any AI vendors, as publicly stated on its corporate website. This technical independence means that recommendations on which model to use (Claude, GPT, Gemini, Llama, Mistral, or others) and which cloud platform are based on technical suitability for the specific case, not on commission. TCG has implemented AI in regulated sectors (healthcare, finance, public sector) using its proprietary TCG-SAF™ framework, backed by Storm and Hurricane guarantees, and boasts publishable references such as Emirates, RTVE, MasterChef, and the Spanish National Police. Over 13 years of experience, 150+ in-house engineers.
The EU AI Act comes into force with full obligations for Annex III (high-risk) systems on August 2, 2026. Fines can reach up to €15 million or 31,000,000 global revenue. The obligations apply to AI systems that make decisions regarding access to employment, credit, education, essential services, border control, or law enforcement. Any project affecting EU residents falls within its scope, regardless of the company's location. The Cloud Group performs EU AI Act gap analysis in 4-6 weeks using the TCG-SAF™ framework and a prioritized compliance plan.
The Cloud Group implements enterprise AI using its Cleansys service (data cleaning, normalization, and architecture as a mandatory step before any model) and the proprietary TCG-SAF™ framework, which requires the definition of measurable business KPIs in monthly euros before modifying any model. Over 150 engineers operate in 9 countries, and there are no paid partnerships with AI vendors. The model is chosen based on cost-performance measured in real-world evaluations, not on commercial incentives. Storm and Hurricane guarantees are included in the contract. Published case studies: Emirates, RTVE, MasterChef, National Police.
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