AI
AI
AI
Digital operations management company PagerDuty Inc. today announced the launch of a new end-to-end artificial intelligence agent suite that slashes incident response times.
PagerDuty’s new AI agent suite allows teams to move beyond manual, reactive incident response. The agents offered as part of the suite learn from related incidents, automatically surface context and then recommend and execute diagnostics and remediations. Additionally, the agents generate self-updating runbooks, which reduce cognitive load and prevent recurring issues.
The agent suite is launching with three agents, with the first new agent, PagerDuty Scribe Agent, being able to instantly transcribe Zoom calls and chat conversations. The agent then generates structured summaries and status updates in Slack or Microsoft Teams, so teams never miss a critical detail during or after an incident.
The second agent, PagerDuty Shift Agent, detects and resolves on-call scheduling conflicts automatically and, in doing so, frees managers and responders to focus on high-impact work. The third agent, PagerDuty Insights Agent, offers context-aware answers and proactive recommendations that are based on PagerDuty analytics to help teams anticipate and prevent issues before they escalate.
“PagerDuty’s AI agents are not just automating tasks, they’re transforming how organizations innovate and compete in a world where every second counts,” said Jeffrey Hausman, chief product development officer at PagerDuty. “Our customers are already seeing dramatic reductions in downtime and a step-change in engineering productivity.”
Alongside the agents, PagerDuty also today announced the general availability of its remote Model Context Protocol server. The MCP server is designed to enable bidirectional connections between PagerDuty and third-party AI agents and, in doing so, remove friction and accelerate time to value. In testing before full launch, more than 250 PagerDuty customers have adopted the MCP server to power their AI-driven operations.
Additionally, PagerDuty also announced deeper developer experience and proactive workflows with enhanced integrations for Spotify for Backstage and strengthened its chat-native experience with Slack and Microsoft Teams.
The company is embedding AI-powered insights and automation directly into developer workflows, giving teams the ability to view service health, trigger automated runbooks and resolve incidents in an improved way, without context switching.
“Enterprises are struggling with the growing complexity of modern software development and infrastructure as AI adoption accelerates,” said RedMonk co-founder and analyst James Governor. “PagerDuty is responding with a platform reliability story focusing on developer experience, open standards such as MCP and the use of agents to support operations and engineering teams.”
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