PagerDuty, the global leader in digital operations management, has officially launched the industry’s first end-to-end AI agent suite, designed to accelerate incident resolution and drive operational resilience. Early adopters of the suite report resolving incidents up to 50% faster, enabling engineering teams to reclaim thousands of hours for innovation across all incidents. The Fall ’25 release introduces over 150 platform enhancements and deep integrations across the modern tech stack, redefining how enterprises scale operations in today’s increasingly complex and risk-prone digital landscape.
“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.”
AI Agents: From Reactive to Proactive Incident Management
The new AI agent suite empowers teams to shift from reactive, manual incident handling to intelligent, proactive operations. The PagerDuty SRE Agent learns from related incidents, automatically surfaces relevant context, and recommends or executes diagnostics and remediations. It also generates self-updating runbooks, reducing cognitive load and preventing recurring issues. Early customers have reported significant reductions in on-call fatigue and double-digit improvements in incident resolution speed.
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PagerDuty Scribe Agent: Instantly transcribes Zoom calls and chat conversations, generating structured summaries and status updates in Slack or Microsoft Teams, ensuring critical details are never missed.
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PagerDuty Shift Agent: Detects and resolves on-call scheduling conflicts automatically, freeing managers and responders to focus on high-impact work.
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PagerDuty Insights Agent: Delivers context-aware insights and proactive recommendations based on PagerDuty analytics, helping teams anticipate and prevent issues before they escalate.
Also Read: S&P Global & IBM Use Agentic AI to Boost Enterprise Ops
Seamless AI Ecosystem Integrations
PagerDuty is expanding its AI ecosystem with the general availability of its remote Model Context Protocol (MCP) server, an open standard introduced by Anthropic. This enables smooth, bidirectional connections between PagerDuty and third-party AI agents, eliminating friction and accelerating time to value. Over 250 customers have adopted the MCP server within just two months 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.”
Enhanced Developer Experience and Proactive Workflows
With new integrations for Spotify for Backstage and stronger chat-native capabilities in Slack and Microsoft Teams, PagerDuty embeds AI-powered insights and automation directly into developer workflows. Teams can view service health, trigger automated runbooks, and resolve incidents efficiently without context switching. Additional chat-native experiences and flexible scheduling features help reduce operational toil and empower teams to manage incidents on their terms.
“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.”