Artificial Intelligence
Transform IT management with smarter, more agile, proactive decisions

What is AI?
Artificial Intelligence applied to IT Asset Management (ITAM) and technical support is revolutionizing the way organizations manage their technology infrastructure. Thanks to its advanced analytics, detection and automation capabilities, it enables complete asset visibility, optimizes costs, improves security and reduces incident response times.
Through the use of AI, it is possible to identify forgotten assets, forecast future needs, avoid license cost overruns, detect threats in real time and automate key processes for both technicians and users. All this translates into more efficient management, a better user experience and more agile, proactive and results-focused support.
Visibility Discovery
Improved IT asset discovery and management
AI-powered ITAM solutions intelligently scan corporate networks, detecting all HW and SW assets, even those that have been forgotten or overlooked.
Complete and up-to-date inventory
Ensures that no critical asset is left unmanaged thanks to in-depth, automated discovery.
Intelligent asset classification
AI categorizes and documents the specifications of each asset for efficient management and informed decisions.


Preventive Maintenance
Predictive analytics and preventive maintenance of managed assets
AI monitors real-time performance and identifies anomalies in IT assets, facilitating failure prevention and planning upgrades in advance.
Fewer outages, greater reliability
Address problems before they affect operability.
Proactive planning
Predictive analysis and preventive maintenance of managed assets.
SW Optimization
License optimization and compliance
Thanks to software usage analysis, AI recommends adjustments and optimizations, avoiding unnecessary licenses and ensuring regulatory compliance.
Real-time license control
Detects deviations or misuse to avoid penalties.
Efficient use of software
Adjust the number of licenses according to actual usage and reduce unnecessary expenses.


Cybersecurity and risk mitigation
Proactive protection against digital threats
AI analyzes network traffic, detects anomalies and automates incident responses to protect the technology infrastructure.
Automatic vulnerability assessment
Identifies risks before they become problems.
Fast and effective responses
Automates patching and mitigation processes to strengthen security.
User productivity
Quick solutions, happier users
The AI guides users in the resolution of incidents, allowing them to solve problems without relying directly on technical support.
Intelligent self-service
Automatic recommendations to resolve common tickets.
Less burden on support
Users solve basic issues on their own, streamlining processes.


Hardware optimization
Maximizes the value of each physical asset
AI identifies underutilized equipment and calculates the total cost of ownership (TCO) for more efficient management of hardware resources.
Intelligent reallocation or withdrawal
Frees up resources by detecting which assets can be redeployed or removed.
Detailed cost analysis
Evaluates energy consumption, maintenance and other factors for strategic decisions.
Productivity of the support team
More efficiency for technicians, better service for everyone
AI recommends actions, detects bottlenecks and suggests continuous improvements for both technicians and care processes.
Faster ticket resolution
Provides contextual suggestions for each incident.
Continuous process improvement
Valuable insights to optimize service desk performance.


End-user satisfaction
Happier users, higher rated IT
AI identifies patterns of dissatisfaction before they escalate and proposes actions to improve the user's experience with support.
Early detection of frustrations
Anticipate complaints or discomfort to act before they affect the operation.
Support service optimization
Improve processes based on feedback and behavioral data.
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