PagerDuty introduces Paige to help teams handle service incidents
PagerDuty has introduced Paige, an AI agent that uses incident signals, service ownership and prepared response procedures to assist operations teams. Organisations decide its access and which actions need approval. Some investigation tools are in preview, while autonomous resolution of known incidents is described as forthcoming rather than a capability already available across every situation.
Artificial Intelligence··Morning
Paige connects incident signals with response procedures
Operations-software company PagerDuty introduced Paige, an artificial intelligence agent for teams investigating service incidents. The product combines incoming monitoring signals with incident-management processes and prepared automations. Its working context includes the people responsible for each service, escalation arrangements and information from previous incidents. PagerDuty describes Paige as a participant in the operations team’s response workflow.[1], [2]
Teams decide access and approval requirements
Each organisation defines which systems Paige can reach, what actions it can perform and when a person must approve a proposed step. Prepared response procedures and current service information supply the operational instructions. Paige is designed to work through collaboration services Slack and Microsoft Teams, using information from monitoring and communications tools alongside the organisation’s authorised workflows.[1]
Investigation previews precede autonomous fixes
Deep Investigation, the function for investigating possible reasons for an incident, and SRE Workbench, a shared reliability-engineering workspace, are in preview. PagerDuty lists autonomous handling of known incidents as a later capability. Supporting tools include Scribe for documenting incidents, Shift for preparing handovers and Insights for operational information. The company stresses maintaining the response instructions and service context on which these functions rely.[1]
