A built-in AI analyst allows investigating incidents using regular text queries

Russian software developer “Bazis” introduced BOSS (Basis Observability System Suite), a platform for monitoring and analyzing IT and business systems using artificial intelligence. The solution combines data on infrastructure, applications, and user experience, helping to identify root causes of failures and assess their impact on business processes.

The platform correlates metrics, event logs, and request traces, automatically generating a relationship model between applications and infrastructure. The built-in AI analyst enables specialists to ask questions about system status in natural language, identify affected services, and receive recommendations for troubleshooting. Machine learning algorithms also detect anomalies and aggregate related alerts into incidents.

A dedicated BOSS module is responsible for analyzing business processes. The system links technical metrics to specific operations and user scenarios, allowing one to determine, for example, why a customer cannot complete a payment when servers are operating normally. This helps assess the impact of technical issues and monitor the quality of digital services.

The Proto Observability Platform served as the technological foundation for the platform. In September 2026, “Bazis” acquired 70% of Proto. According to the developer’s estimate, the feature set of the first version of BOSS is comparable to 95% of solutions by foreign platforms Dynatrace, Datadog, and New Relic.

BOSS can be deployed as a standalone product in existing IT infrastructure. For AI analytics, the integration of language models with an OpenAI-compatible interface is supported, including those deployed on-premises at the customer’s site.

“Bazis” considers observability to be one of the promising areas of business growth. In the future, the company plans to enhance AI diagnostics and expand the platform’s integration with other products in its ecosystem.