Bonree ONE · Sage AI Operations Agent Workbench has been officially launched, marking a breakthrough in the observability space powered by agentic AI.
Sage AI is a newly upgraded operations agent workbench within the Bonree ONE platform from Bonree Data. Built on the platform’s native AI foundation, it is deeply adapted to full-scenario digital operations requirements. Sage AI comes with multiple built-in operational agents covering key scenarios such as incident diagnosis, database analysis, system inspection, capacity evaluation, and change management. Together, they form a 24/7 online, fully capable, and real-time responsive AI-powered operations expert team.
Unlike traditional operations models based on single AI Q&A or passive alerting, Sage AI breaks through the efficiency bottlenecks and experience limitations of manual operations, introducing a new paradigm of collaboration between operations experts and AI agents. With multi-agent orchestration capabilities, it can analyze end-to-end observability data, accurately identify business risks, perform intelligent root cause analysis, and automatically generate operational and remediation plans, effectively addressing long-standing industry challenges such as data silos, complex troubleshooting, and delayed response.
Behind Sage AI is Bonree Data’s self-developed AI engine, combined with MCP, Skills, and a multi-agent collaboration framework. Based on a standardized skill ecosystem and flexible agent orchestration capabilities, Sage AI not only provides out-of-the-box operational agents but also supports enterprises in building customized agents tailored to their own business scenarios. It is designed to adapt to complex operational environments across industries such as finance, government, internet, and intelligent manufacturing, driving a new stage of observability toward autonomy, intelligence, efficiency, and closed-loop operations.
How Bonree ONE·Sage AI Delivers Full-Stack Observability Ops: Monitor, Manage, Control, Analyze, and Operate
The Sage AI Expert Team comprises specialized agents designed for various operational scenarios. Each agent possesses autonomous capabilities in perception, analysis, decision-making, and delivery, handling high-frequency professional tasks in operations. This liberates operations engineers, DBAs, developers, and technical support from repetitive operational work, allowing them to focus on higher-value business innovation.
Powered by multi-agent collaboration, Sage AI integrates the five pillars of observability—Monitor, Manage, Control, Analyze, and Operate—into daily workflows. From full-stack risk perception and real-time monitoring alerts, to automated inspections, change assessment, and capacity forecasting, through to incident diagnosis, root cause analysis, and coordinated remediation, culminating in automatic post-incident reviews and optimized governance strategies, Sage AI forms a complete operational closed loop.
Database Analysis Agent
Database Performance Optimization Expert & Health Guardian of the Sage AI Ops Team
SQL performance issues are often hidden triggers for business failures. Previously, DBAs and developers had to manually analyze slow query logs based on experience—a time-consuming, high-barrier process. Now, developers can independently troubleshoot SQL issues, while DBAs are freed from repetitive tuning to focus on architecture design and capacity planning, enabling proactive discovery and governance of performance risks.
System Inspection Agent
Proactive Risk Discovery Expert & Pre-Incident Defense Line of the Sage AI Ops Team
Traditional inspections rely on manual scheduling and script execution—inefficient and prone to oversights. Now, standardized inspection work is delegated to the System Inspection Agent. Operations teams only need to focus on anomalies and risk points, proactively planning remediation strategies, transforming daily inspections from "passively waiting for failures" to "actively identifying problems."
Fault Diagnosis Agent
Root Cause Identification Expert & In-Incident Emergency Response Hub of the Sage AI Ops Team
Alerts are the first signal in operational response. Previously, upon receiving alerts, engineers had to log into multiple systems to check logs, review monitoring data, and examine code, which is a time-consuming information gathering process. Now, this investigation work is handled by the Fault Diagnosis Agent, allowing engineers to focus solely on remediation. Through multi-agent collaboration, the agent completes root cause analysis within one minute, transforming incident response from reactive chaos to proactive order.
Intelligent Customer Service Agent
Product & Self-Service Inquiry Expert & the Primary User-Facing Service Window of the Sage AI Ops Team
Previously, operations staff spent considerable time manually browsing documentation or consulting post-sales teams to learn how to use the product. Now, with the Intelligent Customer Service Agent, users can self-resolve the vast majority of inquiries quickly and effortlessly. Additionally, users can obtain the correct PQL statements by simply describing their needs, dramatically reducing manual trial-and-error and debugging overhead.
Capacity Assessment Agent
Resource Planning & Trend Forecasting Expert & Long-Term Stability Steward of the Sage AI Ops Team
Insufficient capacity is a major trigger for stability risks. Previously, capacity planning relied on periodic manual calculations by engineers, lacking real-time insight and foresight, often resulting in reactive scaling only after performance alerts escalated. Now, the Capacity Assessment Agent continuously tracks resource utilization, proactively delivering assessment reports and scaling recommendations, transforming capacity management from reactive emergency response to proactive planning, providing a solid resource foundation for business growth.
Change Management Agent
Change Risk Pre-Assessment Expert & Pre-Incident Risk Sentinel of the Sage AI Ops Team
Changes are the most frequent risk trigger in operations. Previously, engineers had to manually map upstream and downstream dependencies and verify resource utilization before executing changes, relying entirely on experience for accuracy. Now, change assessment work is delegated to the Change Management Agent. Engineers receive impact analysis, environment differential comparisons, and risk alerts before changes, ensuring every change is evidence-based and reducing change-related incidents at the root.
What Makes Bonree ONE·Sage AI a True Industry Expert?
Sage AI earns its "expert" designation not from enhanced conversational capabilities, but from its comprehensive technical architecture supporting professional operational decision-making.
First, a systematic data foundation. Built on Bonree's proprietary AI engine, Sage AI is trained on vast operations datasets and best-practice libraries. It is continuously enhanced by over 10 years of full-stack observability heritage and real incident data from 1,000+ top-tier enterprises, with iterative learning driven by execution feedback. The underlying infrastructure includes a complete operational data model covering metrics, logs, traces, events, and entity relationships. It unifies heterogeneous data sources—CMDB, observability signals, emergency playbooks, ITSM tickets—into a knowledge base that agents can understand and invoke, ensuring inference and decisions are evidence-based.
Second, a robust security sandbox. In operational scenarios, agents without security boundaries create more risk than value. Sage AI features a comprehensive security sandbox covering file systems, networks, resources, processes, and multi-tenant isolation. It includes malicious command interception, output desensitization, permission verification, behavioral boundary checks, and compliance audit logs, ensuring every operation executes within controlled security boundaries.
Finally, orchestration and governance designed specifically for operations. The primary agent incorporates task decomposition, orchestration, schema validation, circuit breaking, error retry, version management, and playbook rollback mechanisms. Combined with monitoring corrections, execution feedback, and memory learning, it forms a complete decision-execution closed loop. Sub-agents operate under contextual constraints during parallel collaboration, ensuring reliability, effectiveness, and agility in real incident scenarios.
The systematic data model provides professional foundations for agents, the security sandbox ensures trustworthy operational boundaries, and the governance framework guarantees reliable execution closure. These three components form the technical foundation of the Sage AI Expert Team, enabling autonomous end-to-end operations from perception and analysis to remediation and post-incident review.
As an AI-driven global leader in intelligent observability, Bonree has empowered over 1,000 enterprises worldwide, covering finance, energy, government, internet, and smart manufacturing sectors across mainland China, Hong Kong, and Malaysia. Massive real-world production incident resolution experience and diverse operational best practices continuously refine Sage AI iterations, ensuring agent expertise is validated and refined through extensive complex production scenarios, transforming expert-level operational capabilities into immediately deployable digital productivity for enterprises across all industries.