Innovation and technology nurture each other.
We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.
This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.
Discover the technological disruption that allows you to take your business to a new level and achieve maximum productivity.
Advanced monitoring system based on generative AI multi-agents that enables real-time decision-making through continuous data analysis.
The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.
AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.
Business analysis, manage diverse data sources, and achieve a better understanding of the world through these centralized repositories.
Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.
Virtual conversational assistant based on Artificial Intelligence (AI) that enables real-time file processing.
An AI solution that allows extracting information from documents and incorporating it into an automatic process, using OCR technology.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
A major Argentine logistics company implements a chatbot that allows supervisors to check the status of their branches in real time.
The company transforms its planning with a data-driven approach on AWS, improving forecast accuracy and operational efficiency.
Before implementing new technologies, organizations need to understand where the greatest opportunities for value creation lie. A structured discovery process makes it possible to turn ideas into a concrete roadmap for innovation.
Technological evolution is no longer about adopting isolated solutions, but about designing intelligent architectures capable of learning, anticipating, and operating autonomously.
95% of AI pilots fail to generate measurable financial impact. This paper explores how financial services organizations build real AI capabilities without sacrificing scale, control, or speed.
Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.
Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
The company improves its connectivity and resilience through an AWS-based network architecture.
En un entorno donde la experiencia del usuario es clave, una reconocida plataforma de streaming confió en Nubiral para optimizar sus operaciones en AWS y escalar de forma segura, continua y eficiente.
A major bank needed to migrate its workloads to the cloud and decided to rely on Nubiral for the initial configuration in AWS.
Agility and flexibility in the financial sector today arise from open architectures capable of linking services, integrating with ecosystems, and rapidly deploying new digital channels.
A key paradigm for anticipating and solving problems in increasingly complex IT infrastructures.
Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
Analytical solution designed to transform raw metrics into actionable insights for engineering teams and technical leadership.
The client needed to evolve their Gala chatbot so that end users could consume information from their centralized documentation platform.
Important bank in Colombia migrates from GitLab to GitHub Enterprise and trains its staff for efficient adoption.
Evolving legacy systems without disrupting operations enables organizations to enhance development with AI, reduce technical debt, accelerate delivery cycles, and build software designed to continuously adapt to business demands.
A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Improving data observability and security at a major bank with AWS OpenSearch.
One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.
Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.
We help innovate by preparing our clients against current cyber threats.
We fulfill the responsibility of protecting data to maintain trust and comply with regulations.
Explore our successful case studies across different industries, led by digital innovation experts.
Company optimize its workloads in the cloud with a secure and scalable architecture on AWS.
This new autonomous technology promises to accelerate business innovation, but it also raises questions about control, governance, and risk management in increasingly complex environments.
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
How to develop a cybersecurity plan? Which are the main threats? Which are the best and most modern technologies to face these threats?
Before implementing new technologies, organizations need to understand where the greatest opportunities for value creation lie. A structured discovery process makes it possible to turn ideas into a concrete roadmap for innovation.
This new autonomous technology promises to accelerate business innovation, but it also raises questions about control, governance, and risk management in increasingly complex environments.
Agility and flexibility in the financial sector today arise from open architectures capable of linking services, integrating with ecosystems, and rapidly deploying new digital channels.
Real-time visibility is key to supervising autonomous systems, anticipating incidents, and sustaining increasingly complex digital operations.
95% of AI pilots fail to generate measurable financial impact. This paper explores how financial services organizations build real AI capabilities without sacrificing scale, control, or speed.
A guide for companies to start capitalizing on their investments in new technologies now.
Advances in machine learning enable digital media companies to improve their recommender systems and optimize user experience.
Over the next 12 months, we will witness an incremental adoption of generative AI, higher levels of maturity and new use cases.
Connect+ is a great tool to incorporate knowledge and stay up to date with the latest technological developments.
Access new innovative audiovisual content, quickly and easily. Explore and get to know the technological universe in a different and agile way!
How to develop a cybersecurity plan? Which are the main threats? Which are the best and most modern technologies to face these threats?
Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.
Microsoft Fabric’s data analytics combined with the power of the multi-cloud architecture, drives decision making and empowers users.
OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.
As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.
As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Innovation and technology nurture each other.
We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.
This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.
Discover the technological disruption that allows you to take your business to a new level and achieve maximum productivity.
Advanced monitoring system based on generative AI multi-agents that enables real-time decision-making through continuous data analysis.
The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.
AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.
Business analysis, manage diverse data sources, and achieve a better understanding of the world through these centralized repositories.
Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.
Virtual conversational assistant based on Artificial Intelligence (AI) that enables real-time file processing.
An AI solution that allows extracting information from documents and incorporating it into an automatic process, using OCR technology.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
A major Argentine logistics company implements a chatbot that allows supervisors to check the status of their branches in real time.
The company transforms its planning with a data-driven approach on AWS, improving forecast accuracy and operational efficiency.
Before implementing new technologies, organizations need to understand where the greatest opportunities for value creation lie. A structured discovery process makes it possible to turn ideas into a concrete roadmap for innovation.
Technological evolution is no longer about adopting isolated solutions, but about designing intelligent architectures capable of learning, anticipating, and operating autonomously.
95% of AI pilots fail to generate measurable financial impact. This paper explores how financial services organizations build real AI capabilities without sacrificing scale, control, or speed.
Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.
Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
The company improves its connectivity and resilience through an AWS-based network architecture.
En un entorno donde la experiencia del usuario es clave, una reconocida plataforma de streaming confió en Nubiral para optimizar sus operaciones en AWS y escalar de forma segura, continua y eficiente.
A major bank needed to migrate its workloads to the cloud and decided to rely on Nubiral for the initial configuration in AWS.
Agility and flexibility in the financial sector today arise from open architectures capable of linking services, integrating with ecosystems, and rapidly deploying new digital channels.
A key paradigm for anticipating and solving problems in increasingly complex IT infrastructures.
Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
Analytical solution designed to transform raw metrics into actionable insights for engineering teams and technical leadership.
The client needed to evolve their Gala chatbot so that end users could consume information from their centralized documentation platform.
Important bank in Colombia migrates from GitLab to GitHub Enterprise and trains its staff for efficient adoption.
Evolving legacy systems without disrupting operations enables organizations to enhance development with AI, reduce technical debt, accelerate delivery cycles, and build software designed to continuously adapt to business demands.
A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Improving data observability and security at a major bank with AWS OpenSearch.
One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.
Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.
We help innovate by preparing our clients against current cyber threats.
We fulfill the responsibility of protecting data to maintain trust and comply with regulations.
Explore our successful case studies across different industries, led by digital innovation experts.
Company optimize its workloads in the cloud with a secure and scalable architecture on AWS.
This new autonomous technology promises to accelerate business innovation, but it also raises questions about control, governance, and risk management in increasingly complex environments.
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
How to develop a cybersecurity plan? Which are the main threats? Which are the best and most modern technologies to face these threats?
As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.
As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Before implementing new technologies, organizations need to understand where the greatest opportunities for value creation lie. A structured discovery process makes it possible to turn ideas into a concrete roadmap for innovation.
This new autonomous technology promises to accelerate business innovation, but it also raises questions about control, governance, and risk management in increasingly complex environments.
Agility and flexibility in the financial sector today arise from open architectures capable of linking services, integrating with ecosystems, and rapidly deploying new digital channels.
Real-time visibility is key to supervising autonomous systems, anticipating incidents, and sustaining increasingly complex digital operations.
95% of AI pilots fail to generate measurable financial impact. This paper explores how financial services organizations build real AI capabilities without sacrificing scale, control, or speed.
A guide for companies to start capitalizing on their investments in new technologies now.
Advances in machine learning enable digital media companies to improve their recommender systems and optimize user experience.
Over the next 12 months, we will witness an incremental adoption of generative AI, higher levels of maturity and new use cases.
Connect+ is a great tool to incorporate knowledge and stay up to date with the latest technological developments.
Access new innovative audiovisual content, quickly and easily. Explore and get to know the technological universe in a different and agile way!
How to develop a cybersecurity plan? Which are the main threats? Which are the best and most modern technologies to face these threats?
Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.
Microsoft Fabric’s data analytics combined with the power of the multi-cloud architecture, drives decision making and empowers users.
OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.
Home / Proactive Observability Agent
An advanced monitoring system based on generative AI multi-agents that enables real-time decision-making through continuous data analysis.
It is an artificial intelligence solution designed to monitor data in real time, detect anomalies, and automatically take corrective action or recommend precise solutions. Within this approach, the Proactive Observability Agent plays a crucial role by optimizing the operation of critical systems, reducing risks, and improving operational efficiency.
It uses multi-agent technology to analyze data, generate notifications in natural language, and make intelligent decisions based on predefined rules. Its predictive and adaptive approach enables the effective management of complex processes across various industries.
Early Failure Prevention
Ensure that system anomalies are identified before they impact operations. The Proactive Observability Agent facilitates this early detection, allowing issues to be addressed before they turn into failures.
Smart Automation
The need for human intervention at every stage increases response times. The Proactive Observability Agent enables the automation of corrective actions, reducing the workload and the risk of human error.
Customization of Business Rules
Automatically adapt the rules of a BRMS (Business Rules Management System) to specific needs without relying on third parties.
Global scalability
Ensuring that the Proactive Observability Agent can handle large volumes of data in real time across various geographies is crucial for adapting to the needs of an ever-changing business environment.
Multisectoral Integration
The Proactive Observability Agent is easy to use across industries with very different operational needs, adapting to each environment and improving the efficiency of specific process management.
Lack of insight into the causes of failures
Identifying the source of a problem in a complex system can be complicated and time-consuming. The Proactive Observability Agent provides clear, data-driven explanations through LLM-powered chat, making it easier to understand and resolve issues.
An agent is a self-contained artificial intelligence program designed to perform specific tasks efficiently and adaptively. In the case of this solution, the Proactive Observability Agent and other agents analyze data in real time, identify patterns or anomalies, and make decisions based on predefined rules to ensure optimal system performance.
When using a multi-agent architecture, as in this development, multiple specialized agents collaborate with one another to meet the user's needs. This architecture includes an intelligent orchestrator agent, which understands the user's intent and coordinates the interaction among the other agents.
The ability of these agents to work in a coordinated manner ensures a dynamic, proactive, and effective approach to detecting and preventing critical problems in complex systems.
Our solution incorporates a multi-agent ecosystem, with each agent specializing in different key functions within the system:
Monitoring Agents
They continuously monitor real-time data from sensors, identifying patterns and anomalies.
Predictive Analytics
They use AI models to anticipate failures or deviations before they occur, enabling a proactive response.
Decision-makers
They analyze the rules configured in the BRMS to enable manual actions or execute automated solutions.
Notification Agents
They generate personalized alerts and recommendations using generative AI, delivering them at the right time to the appropriate user.
Reporting Tools
They create detailed reports on incidents and actions taken, tailored to the needs of supervisors and other roles.
Real-time monitoring
Continuous display of real-time data through interactive dashboards.
Smart Alerts with Generative AI
Generation of dynamic and personalized notifications, including clear explanations of anomalies and specific recommendations.
Proactive Automation
Automatic execution of corrective actions based on the severity of the failure, integrating configurable rules in BRMS.
Advanced Conversational Interface
A chatbot capable of answering questions, explaining actions, and guiding users through problem-solving.
Total adaptability
Integration with existing systems, rule customization, and scalability to meet future needs.
Proactive Prevention
Minimize the impact of critical issues through early detection and automated actions.
Time savings
A significant reduction in the time required to identify and resolve anomalies, thanks to predictive models and proactive alerts.
Making Informed Decisions
Informed decisions based on data processed in real time, as well as quick access to clear explanations of the situation.
Resource Optimization
Cost reduction and improved operational efficiency.
Intelligent monitoring of server resources, data centers, cloud applications, and critical infrastructure. The solution detects anomalies in CPU, memory, and storage usage, as well as in physical components such as power supplies and cooling systems. It also monitors infrastructure performance to prevent outages and ensure operational continuity. It executes automated actions to optimize the system in real time and generates detailed reports in natural language on the status and performance of resources.
Real-time monitoring of sensors on hydraulic test benches. The solution ensures that hydraulic components operate within safe parameters by detecting anomalies such as leaks, overpressure, or efficiency failures. It also enables automatic corrective actions to prevent damage and maintain operational stability.
Real-time monitoring of pressure, temperature, and flow rate in oil wells. It detects critical conditions such as overpressure or loss of flow, triggering automatic actions to mitigate operational risks and ensure operational safety. It also generates detailed reports on the system’s status to facilitate predictive maintenance.
Continuous network monitoring to identify connectivity issues and detect service outages before they affect users. The system uses predictive analytics to optimize service quality, providing real-time notifications to operators with suggested actions for resolving incidents.
Continuous monitoring of transactions in critical systems to identify anomalies such as unusual patterns or fraud risks. The solution helps prevent disruptions in transactional systems and ensures operational security through dynamic reports and real-time recommendations.
Monitoring of critical infrastructure at retail locations and distribution centers. It detects issues with billing, inventory, or logistics systems and automates corrective actions to minimize disruptions. It also generates reports in natural language to support real-time decision-making.
Real-time monitoring of the performance of streaming platforms and content delivery systems. The solution detects anomalies in latency or bandwidth and automatically adjusts resources to maintain the quality of the user experience. It also allows you to generate reports on content usage and performance.
Relive the presentation of the case study at the 2025 AWS Energy Symposium in Buenos Aires.
Everything you need to know to understand how proactive, AI-driven observability can anticipate problems, optimize your resources, and transform the way you manage your infrastructure.
It is an advanced monitoring system based on multi-agent generative AI that analyzes data in real time to enable immediate, automated decision-making.
It has an ecosystem of specialized agents:
It offers an advanced conversation via chat: Answer questions, explain actions, and provide guidance on how to resolve issues—all in natural language.
Yes. It is Highly customizable: It adapts to your rules (via BRMS), can integrate with your existing systems, and scales to meet your future needs.
Send smart, personalized alerts, generated using generative AI, and provides detailed reports that describe the incident, the actions taken, and recommendations for next steps.
It enables you to anticipate problems, reduce costs, optimize resources, and improve the user experience through continuous, automated monitoring.
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