The AviChron application addresses the challenge of manual, time-consuming, and often inconsistent technical reporting in modern information environments. The proposed solution consolidates infrastructure metrics from the Zabbix monitoring system and incident records from the ServiceNow ITSM platform, enriching them using a locally deployed open-weight language model gpt-oss with 120 billion parameters. The system automates data acquisition, correlation, and interpretation, generating standardized reports in PDF, DOCX, or XLSX formats. This approach reduces the administrative workload of operations teams, improves report comparability over time, and strengthens compliance by ensuring that operational data is not sent to external LLM services and that model inference remains within the organization’s infrastructure. The system was evaluated with 30 participants. Results indicate that the estimated time for preparing a comparable report decreased from several hours to approximately 35 minutes. The solution is particularly suitable for security-sensitive environments, as locally deployed data processing and a locally hosted language model ensure complete control over data flows.
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