The artificial intelligence Artificial intelligence (AI) is transforming our lives in amazing ways, but it also poses significant risks. Addressing these risks is crucial to ensuring that AI is used safely and responsibly in all aspects of our lives. At The Cloud Group, we are aware of these challenges and are working to minimize them.
1. Bias and discrimination
2. Invasion of privacy
3. Unemployment
4. Excessive dependence
5. Lack of responsibility
6. Difficulty in explaining AI decisions
7. Automation of inappropriate tasks
8. Cybersecurity
9. Malicious use
10. Effects on mental health
11. Concentration of power
The importance of addressing these risks lies in ensuring that AI It continues to be a useful and beneficial tool for society. At The Cloud Group, we strive to implement ethical and responsible artificial intelligence solutions that adapt to the needs of each company and client.
It is essential to take proactive steps to address and minimize the risks of artificial intelligence. Below are some key strategies to achieve this:
To effectively address these risks, it is vital to understand their scope and how they affect individuals and organizations. At The Cloud Group, we work closely with our clients to identify and address AI risks, developing customized and sustainable solutions.
In The Cloud Group, We are aware of the risks associated with artificial intelligence and strive to minimize them. We have a team of AI experts who work closely with our clients to develop ethical and responsible AI solutions.
Our focus is on developing and implementing AI systems that are transparent, fair, and respectful of user privacy. Furthermore, we work to promote diversity and inclusion in the creation of algorithms, This helps prevent bias and discrimination in AI systems. We also ensure that our developments comply with relevant regulations and laws, and we provide training and resources so our clients can make informed decisions about using AI in their daily operations.
We understand that education and training in AI skills These are essential for addressing the risks associated with technology. We offer training and consulting to businesses and organizations to help them understand how to implement and maintain AI solutions safely and responsibly. Furthermore, we collaborate with other organizations and experts in the field of ethical AI to stay up-to-date on best practices and the latest developments in this area.
The cybersecurity This is another important concern when it comes to artificial intelligence. We ensure that our AI systems are protected against potential security threats and work closely with our clients to establish robust security and privacy protocols. We also advocate for the continuous monitoring and auditing of AI systems to ensure they operate effectively and responsibly.
Research and collaboration are key to addressing the risks of artificial intelligence. At The Cloud Group, we participate in joint research projects and collaborate with other organizations and experts in the field of ethical AI. These collaborations allow us to share knowledge, discover innovative solutions, and contribute to the development of policies and regulations that promote the responsible use of AI.
We also focus on ensuring our AI solutions are accessible and beneficial to a wide range of customers and users. This includes working with stakeholders in decision-making and ensuring that the needs and concerns of different communities are considered when developing and implementing AI systems.
Ultimately, our goal at The Cloud Group is to ensure that artificial intelligence is used ethically and responsibly to improve the lives of individuals and organizations. We believe that by addressing the risks associated with AI and developing solutions that consider security, privacy, and fairness, we can contribute to technological progress and the well-being of society as a whole.
At The Cloud Group, we We pride ourselves on our commitment to the ethical and responsible implementation of artificial intelligence. We understand that AI has the potential to improve our daily lives and make the world more efficient and accessible for everyone. However, we are also aware of the associated risks and work tirelessly to address them and ensure that our AI solutions are safe, reliable, and beneficial for all stakeholders.
We believe the key to addressing AI risks lies in education, collaboration, and ongoing research. By empowering our clients and collaborating with other experts in the field of ethical AI, we can stay at the forefront of advancements in this area and ensure our solutions are always safe and responsible. Furthermore, our participation in joint research projects and collaborations with other organizations allows us to contribute to the development of policies and regulations that promote the ethical use of artificial intelligence.
It is also essential that our AI solutions are accessible and beneficial to a wide range of customers and users. This includes working with stakeholders in decision-making and ensuring that the needs and concerns of different communities are considered when developing and implementing AI systems. By doing so, we can ensure that AI is used in ways that improve the lives of people and organizations, leaving no one behind.
Cybersecurity is another area where we focus to address the risks associated with artificial intelligence. By protecting our AI systems against potential security threats and collaborating with our clients to establish robust security and privacy protocols, we can ensure that AI is used safely and responsibly at all times.
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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