Array ( [0] => Array ( [_id] => 68304be9792b893ca2033097 [name] => Contextual Triage Agent [description] => Contextual Triage Agent is an AI-powered solution from ZBrain built to accelerate and enhance the triage phase of incident management. In fast-paced operational environments, the ability to assess and prioritize incidents quickly is often hindered by disconnected data sources and time-consuming context gathering. This agent solves that challenge by automatically compiling relevant system insights at the moment an incident or service request is raised. It centralizes critical diagnostic inputs—such as performance metrics, recent system events, and historical changes—into a structured summary, attached to the ticket, enabling informed decision-making from the outset.

Technically, the agent uses intelligent retrieval logic to collect and correlate data points from relevant observability and change-tracking systems. Once gathered, the information is synthesized into a readable format that aligns with the incident type, helping ensure consistency in how triage information is presented. The structured summaries are dynamically mapped to service tickets, establishing immediate visibility into potential root causes, affected components, or patterns—streamlining the handoff between support tiers.

By delivering real-time, contextual insight during incident intake, the Contextual Triage Agent reduces time-to-diagnosis, supports faster resolution workflows, and helps maintain compliance with service-level objectives. It also improves incident documentation quality, enabling better retrospectives and operational learning. For organizations looking to scale support operations without compromising speed or accuracy, this agent becomes essential for proactive and efficient incident response.

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Information Technology

Contextual Triage Agent

Automatically collects and consolidates contextual information from logs or monitoring tools to enrich incident or request tickets, accelerating root cause analysis and resolution.