Artificial intelligence (AI) is no longer an emerging technology: it has become a essential strategic resource for companies seeking to optimize processes, anticipate change and generate value from data. According to the report The State of AI in 2024 According to McKinsey & Company, more than 72 % of companies that have integrated AI into their processes claim to have improved their productivity, while 67 % claim to have made more effective decisions as a result of its use.
The application of AI models allows organizations to analyze large volumes of information in real timeThe result is tangible improvements such as cost savings, increased efficiency, greater accuracy in customer service and, especially, improved customer satisfaction. This translates into tangible improvements such as cost savings, increased efficiency, greater accuracy in customer service and, especially, active, evidence-based corporate reputation management.
At EnigmiaWe combine technology, analytics and strategy so that artificial intelligence not only streamlines processes, but also provides a in-depth and comparative reading of the environment. Our proprietary models, trained on qualified sources, allow us to detect opportunities, anticipate reputational risks and improve customer experience, always adapting to the positioning and objectives of each organization.
Companies that already use artificial intelligence applied in companies
More and more organizations are demonstrating that artificial intelligence applied in companies is not just a promise, but a reality that transforms their day-to-day operations. We are not talking about isolated experiments or cosmetic innovation, but about real changes that affect how decisions are made, how customers are served or how reputations are protected.
In the financial sector, BBVA has been using AI for years to personalize the financial recommendations it offers its customers based on their behavior and economic context. Thanks to this, it has managed to improve user retention and increase the use of its app as a main channel.
In the world of ecommerce, Zalando applies predictive models to anticipate product demand, adjust prices in real time and reduce returns. This not only improves your profitability, but also the customer experience, as they receive suggestions that are more in line with their real tastes and needs.
Telefónicahas developed a proprietary platform called Aura that functions as an intelligent virtual assistant. It integrates customer service, service management and satisfaction analysis. In parallel, the company measures brand perception and reputation through models that analyze media and social networks, allowing it to react to potential crises more quickly and effectively.
Even in the area of health, entities such as Sanitas or the Hospital Clínic de Barcelona use AI to improve medical care, from automated triage to the analysis of clinical images with greater accuracy than the average human in some cases. Artificial intelligence applied in companies not only speeds up processes, but also multiplies the capacity to offer safer and more adapted solutions.
These cases show that there is no single model or way to implement AI. What is important is that it adapts to the business logic, the company's culture and the real strategic objectives. And above all, that it is not limited to being a project of the technology department, but involves the key areas of the business.
Why artificial intelligence applied in companies is good for your business
Artificial intelligence applied in companies brings measurable advantages that transcend the technological hype. These are the most frequent when the deployment is serious and strategic
- Increased operational efficiency by offloading repetitive tasks to intelligent systems and freeing up equipment time
- Cost optimization by reducing human error, shortening cycle times and prioritizing what really adds value
- Personalization of customer experiences based on actual behavior and not on generic segments
- Improved decision making with real-time analytics and predictive modeling that anticipates risks and opportunities
- Sustained competitive advantage because artificial intelligence allows companies to understand the context before the competition and react with agility.
At Enigmia we add a differential layer. We don't just automate. We read the opinion of your key audiences, customers, media, networks and other sources and connect it with your communication strategy, your customer service and your reputational positioning.
Measurable impact of artificial intelligence applied in companies
| Key area | Previous situation | With AI | Typical improvement |
|---|---|---|---|
| Productivity in repetitive processes | Download | High | between 15 and 30 percent |
| Operating costs | High | Controlled | between 15 and 25 percent |
| Customer response time | Slow | Fast and consistent | between 30 and 50 percent |
| Forecasting accuracy | Irregular | Evidence-based | between 20 and 30 percent |
*Ranges depend on starting point, data quality and degree of automation achieved.
Intelligent automation and actual redesign of processes
Artificial intelligence applied in companies generates value when it is not limited to replacing hands with algorithms. The change comes when flows are redesigned, bottlenecks are eliminated and it is defined which tasks will remain in human hands and which ones will be executed by machines. Enigmia works with live process maps based on real data. This makes it possible to identify where AI provides the greatest efficiency leverage in financial and accounting back offices, document management, quality control, customer service and supply chains. The goal is not just to do the same thing faster, but to do things differently and better.
Personalization that really learns from the customer
One of the areas where artificial intelligence applied in companies has shown the greatest impact is in customer relations. It is not simply a matter of adapting an email campaign to the user's name, but of interpreting their behavior in multiple channels, understanding their context and anticipating their needs. This not only improves the customer experience, but also reduces costs, increases customer loyalty and makes it possible to detect opportunities that would go unnoticed in a traditional system.
Many companies have started by personalizing the content they display on their websites or apps, but the real leap occurs when this logic is extended to all points of contact. In the contact center, for example, an AI engine can analyze thousands of previous conversations in seconds, identify patterns in frequently asked questions or anticipate reasons for dissatisfaction. This allows agents to focus on solving the problem, not deciphering it.
Real-time corporate reputation with proprietary models
One of Enigmia's differentials is the ability to measure reputation in real time with artificial intelligence applied to companies. Our models do not stop at counting mentions. They value the quality of information, the fit with key messages, the credibility of each source and the relative position compared to your competitors. This allows you to move from reactive reporting to an evidence-based reputational strategy that prioritizes actions, identifies risks and detects windows of opportunity before they explode in the public conversation.
Data governance, risks and ethics from minute one
Scaling artificial intelligence in companies without a solid governance foundation is a bad idea. Clarity on roles, bias assessment processes, model traceability, privacy controls and quality metrics are needed. We work with governance frameworks that include business value KPIs, risk indicators, human review protocols and responsible use policies. This avoids the permanent demo effect and builds stable capabilities that withstand internal, regulatory and customer audits.
Practical roadmap for deploying artificial intelligence in enterprises
- Identify use cases with clear feedback and available data
- Auditing data quality and defining the governance model
- Rapid prototyping with visible business metrics from day one
- Redesign workflows and roles to capture the value of the model
- Industrialize the use case with continuous monitoring and alerts
- Scale horizontally to adjacent functions while maintaining security, privacy and explainability standards
- Measure, learn and adjust with short cycle times and shared goals for business, data and technology
AI, reputation and corporate culture: a triangle of trust
Reputation no longer depends only on what the company communicates, but on how it behaves, how it responds and what experience it generates at each touch point. And all of this is increasingly connected to data. From the speed of attention via WhatsApp to the type of messages a journalist receives when covering a corporate news story, each interaction adds or subtracts trust. Artificial intelligence applied in companies makes it possible to measure these friction points, detect misalignments and propose changes before the impact worsens.
But this cannot be done if the business culture is not aligned. If teams do not trust the technology or if leaders are not involved in the changes, AI ends up becoming a decorative layer. That is why at Enigmia we are so insistent on accompanying the deployment of our systems with internal awareness and training. It is not just a matter of installing models, but of preparing people to work with them, to understand them and to question them when necessary.
And this is where reputation comes back to the center. Because a company that knows what it projects, that measures the impact of its actions and that listens to its audiences with reliable tools, is much more likely to build a solid, coherent culture that is ready to adapt.
From information to action with live models
One of the great unfulfilled promises of big data was the accumulation of information with no real capacity for action. Reports, dashboards and graphs did not always lead to concrete decisions. Artificial intelligence applied in companies changes this logic. It is no longer just a matter of recording what is happening, but of understanding its complexity and anticipating what is coming.
This is especially relevant when the data is live. Analyzing a campaign that has already ended is not the same as interpreting in real time how a communication action is working and adjusting the message before it loses strength. Reading a quarterly report on reputation is not the same as receiving daily alerts with indications of a possible crisis. The difference lies in the ability to react in time and with criteria. And that, today, is only possible if data is converted into practical intelligence.
Because in today's world, anticipating is not an advantage. It is a necessity.
At Enigmia we apply artificial intelligence not only to automate, but to better understand what your customers, your key audiences and your information environment feel, think and expect. Turning scattered data into strategic decisions that strengthen your reputation, improve your customer experience and align your communication with what really matters.
If you want to take a step beyond traditional analytics and transform information into action, talk to us. We can help you design an intelligent system adapted to your business, your audiences and your objectives.
