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Automatic Summarization – the Future of ITSM
One of the main challenges in ITSM is processing vast amounts of data related to incidents and tickets. Currently, analyzing the history of failures or past requests requires manually searching through systems and reports, which consumes valuable time for IT teams. In the future, OXARI AI plans to implement algorithms for automatic summarization of ticket content, identification of key information and extraction of essential insights based on the analysis of previous cases. Such functionality will allow support engineers to diagnose problems more quickly and make more accurate operational decisions, eliminating time-consuming manual analyses.
Incident History Analysis – Intelligent Summaries
OXARI AI is conducting research on the use of artificial intelligence for dynamic incident history analysis. In the future, the system will be able to automatically group and summarize thematically related tickets, highlight recurring problem patterns and propose recommendations based on previous support team actions. This will enable IT engineers to instantly assess whether a particular issue has had precedents and what solutions have proven effective. This is a key development direction for OXARI, which in the coming years aims to lead to the implementation of advanced predictive analytics in the ITSM domain.
Automatic Recommendations – the Next Stage of OXARI Development
One of the development goals of OXARI AI is to create an intelligent mechanism for technical recommendations based on ticket and incident history analysis. In the future, the system is intended not only to provide summaries but also to suggest specific optimization actions that may prevent similar issues in the future. Automatic recommendations may relate to system configuration changes, implementation of security patches or optimization of operational procedures. Work on this functionality aligns with broader 2025 trends, in which ITSM is becoming increasingly proactive and based on predictive data analysis.
Intelligent Prioritization and Summaries – the Future of OXARI AI
OXARI AI aims to implement automatic classification and prioritization of tickets, which in the future will allow IT teams to manage incidents more effectively. Using NLP (Natural Language Processing) and machine learning algorithms, the system will be capable of generating short, concise ticket summaries that reflect their impact on IT infrastructure and potential business consequences. This solution will not only streamline the work of technical support teams but also facilitate communication between IT and business units, eliminating excessive technical detail and providing a condensed essence of the problem.
OXARI AI follows the key trends of 2025, focusing on future-oriented features such as automatic summarization, incident history analysis and intelligent action recommendations. Although development of these solutions is ongoing, their advancement represents a strategic direction that, in the coming years, will enable OXARI ITSM to reach a new level of efficiency and intelligence in IT service management.
