PagerDuty, Inc., a global leader in digital operations management, unveiled the industry’s first comprehensive AI agent suite, setting a new standard for operational resilience. Early adopters of the suite have resolved incidents up to 50% faster, enabling engineering teams to reclaim thousands of hours for innovation across all incident types. With over 150 platform enhancements and deep integrations across the modern tech stack, PagerDuty’s Fall 2025 release redefines how enterprises manage complexity and risk while scaling operations effectively.
“This is a turning point for digital operations,” said Jeffrey Hausman, chief product development officer at PagerDuty. “PagerDuty’s AI agents are not just automating tasks they’re transforming how organizations innovate and compete in a world where every second counts. Our customers are already seeing dramatic reductions in downtime and a step-change in engineering productivity.”
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AI Agents Shift from Reactive to Proactive Management
PagerDuty’s AI suite empowers teams to move beyond manual, reactive incident response. The SRE Agent learns from previous incidents, surfaces context automatically, recommends and executes diagnostics and remediations, and generates self-updating runbooks. These capabilities reduce cognitive load and prevent recurring issues. Early users report faster resolution times by double-digit percentages and a significant drop in on-call fatigue.
Meanwhile, the suite includes:
- Scribe Agent: Transcribes Zoom calls and chat conversations instantly, producing structured summaries and status updates in Slack or Microsoft Teams to ensure teams never miss critical details.
- Shift Agent: Detects and resolves on-call scheduling conflicts automatically, allowing managers and responders to focus on high-impact work.
- Insights Agent: Provides context-aware answers and proactive recommendations from PagerDuty analytics, helping teams anticipate and prevent issues before they escalate.
Expanding AI Ecosystem and Seamless Integrations
PagerDuty has expanded its AI ecosystem with the general availability of its remote Model Context Protocol (MCP) server, based on the open standard introduced by Anthropic. This innovation enables bidirectional connections between PagerDuty and third-party AI agents, reducing friction and accelerating value creation. In just two months, over 250 customers have adopted the MCP server to power AI-driven operations.
“During a recent hack week, we built a PagerDuty MCP extension to connect our open source AI agent, goose, with incident management workflows,” said Will Pfleger, senior software engineer at Block. “This has become a production tool that automates triage and root cause analysis across our teams, and we’re excited to see PagerDuty now provide their own first-party MCP server as this collaboration demonstrates how AI-powered systems can reduce on-call burden and deliver real operational value.”
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Enhanced Developer Experience and Proactive Workflows
PagerDuty has strengthened integrations for Spotify for Backstage, Slack, and Microsoft Teams, embedding AI-driven insights directly into developer workflows. Teams can monitor service health, trigger automated runbooks, and resolve incidents efficiently without context switching. New chat-native experiences and flexible scheduling features further reduce toil and empower teams to manage incidents their way.
“Enterprises are struggling with the growing complexity of modern software development and infrastructure as AI adoption accelerates,” said James Governor, analyst and co-founder at RedMonk. “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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