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Sage AI
AI Ops Agent Workbench
AI Observability
Full-lifecycle AI observability
Dashboard
Unified visualization, one-screen insight
Monitors
Precise alerts. Zero noise. Fast response
The securities industry's complex, high-concurrency systems and fragmented monitoring cause data silos, slow fault localization, and unquantified user experience—under strict regulatory scrutiny. Bonree ONE delivers end-to-end observability, intelligent troubleshooting, and experience quantification.
Root‑cause localization time reduced from 2 hours on average to under 5 minutes – a 96% improvement.
Irrelevant and duplicate alerts reduced by 82%, O&M labor input decreased by 45%.
Proactive detection of quote/trading interface faults 30 minutes in advance, shortening business interruption duration by 70%.
Online user experience quantification coverage increased from 35% to 100%, customer complaints down 68%.
Meets regulatory requirements, reducing compliance self‑inspection time by 60%.
Collects real user access data from APPs, H5, mini-programs, etc. Trace IDs span frontend → gateway → microservices → database, enabling one-click decomposition of full-chain latency and precise fault layer identification. Expected outcomes: full quantification of terminal user experience, eliminating the need for cross-departmental coordination for complaint localization.
Integrates heterogeneous third-party data from multiple sources; a single platform consolidates various observability data types. When anomalies occur, automatically correlates corresponding logs, network latency, and service call stacks. Expected outcomes: no more multi-system switching; complete multi-dimensional fault review on a single page.
O&M observability from a critical chain perspective: covers 70+ brokerage business chains including trading, login, and search/query;
Cross-data-center deployment: enables joint query and analysis across data centers;
Visualized vertical deployment architecture and horizontal call architecture: improves cross-team fault coordination efficiency, supports future fault diagnosis and impact analysis.