Cost Optimization
We reduce unnecessary infrastructure expenses and automate resource management, achieving sustainable savings without sacrificing performance.
ASSETS CONSULTORES
Cost Optimization, Observability and Artificial Intelligence.
Every system has a pulse, a pattern waiting to be understood. We shape it, illuminate it with data and train it with intelligence. Optimization is not a destination, it's a continuous learning process. This way technology stops reacting and starts anticipating.
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Our Pillars
Three areas of expertise that combine to drive your business forward.
Observability
We provide complete visibility into your systems, integrating logs, metrics and traces so you can make informed and quick decisions.
Artificial Intelligence
We integrate custom AI solutions to automate tasks, discover complex patterns and enhance your business's predictive capabilities, focusing not only on generic closed products but adapting and evolving each of our designs to fit your specific needs in time and form.
Technology is just the means. Your success is the end.
And the end justifies the means
Case Studies
How we apply our pillars to create real solutions.
Study // OPERATIONS & Hyperautomation
Corporate Resources Usage in Infrastructure Operations
Deep dive into time and effort distribution during incident resolution
This case study analyzes corporate resource usage in IT infrastructure operations through the lens of the Pareto Principle. It hypothesizes that a small percentage of incidents (the "20%") consumes the vast majority (the "80%") of time, effort and senior personnel resources. The study moves away from high-frequency, low-impact alert management to focus on events that truly paralyze operations teams and divert critical resources from value-adding tasks.
The "deep dive" into incident resolution reveals a paradigm shift: traditional automation, based on the direct "incident-procedure" relationship, is losing relevance. This model is effective for known problems, but research shows that teams spend most of their time on crises without a procedural manual. The analysis focuses on how effort is distributed when the typical incident is, in fact, the atypical incident: complex, interdependent and novel events requiring advanced diagnosis and multidisciplinary collaboration, rendering traditional "runbooks" obsolete.
The goal is to quantify the real cost of this "long tail of atypical incidents" and propose a strategic refocus. Rather than automating the simple, the study explores the need for tools and processes (such as AIOps, advanced observability or "swarming") that assist teams in resolving the complex. It seeks to redefine resource allocation, not to follow procedures, but to accelerate diagnosis in scenarios where no prior procedure exists.
Study // Observability
Business Insights
360º business visibility in real-time, improving decision-making.
This study conducts a state-of-the-art analysis of how traditional companies manage their most volatile and valuable asset: data. It maps massive information generation (from ERPs, CRMs, logs, unstructured databases and staff tacit knowledge) and diagnoses its current state, characterized by fragmentation in silos and lack of unified context. This is the main barrier to advanced AI adoption.
The research core defines the necessary transformative path to convert this data chaos into "reliable information". It details the critical process of adaptation, cleaning, contextualization and assurance of information to make it consumable and iterable by natural language models (LLMs). It's not just about storing data, but creating a living knowledge base that represents business reality.
Finally, the study projects how this knowledge base activates a conversational and iterative model that goes beyond a simple chatbot. It explores the architecture of autonomous business agents that use this curated information for unassisted process automation. It analyzes the transition from AI that assists to AI that decides (a "HIVE MIND"), and provides a roadmap on how companies must prepare organizationally and technically for this new wave of artificial intelligence.
Study // Talent Care
Corporate Wellness
Proactive reduction of turnover and improvement of team well-being.
This case study addresses one of the greatest burdens on corporate stability: the lack of visibility into the real well-being of the workforce. Traditionally, turnover, burnout and workplace conflicts are managed when it's already too late, generating high costs and irretrievable talent loss. The study starts from the premise that employee motivation and engagement are metrics that can and should be measured systematically.
It presents an analysis of implementing an anonymous, secure and non-intrusive measurement methodology. This approach overcomes the limitations of annual climate surveys, offering a real-time barometer of organizational sentiment. It details how this tool collects and processes indicators ethically, ensuring absolute employee confidentiality while extracting valuable business intelligence about the organization's state.
The main value of this model is its ability to generate predictive alerts for Human Resources departments. By identifying negative trends or drops in motivation before they manifest as resignations or stress-related absences, HR gains the ability to anticipate crises. This transforms HR from an administrative cost center to a strategic partner capable of actively preventing instability and securing the company's most important asset: its people.
Ready to get started?
Let's talk today. We're ready to analyze your challenges and propose a "groundbreaking" solution.
consultas@assetsconsultores.es