PagerDuty Announces Latest Release of Operations Cloud Platform

Learn more about PagerDuty

PagerDuty will add new agentic AI functionality across the PagerDuty Operations Cloud platform beginning with its Spring 25 release, which will help enterprises solve high-impact, mission-critical issues. 

The company also announced new packaging of its Incident Management products to deliver premium features, capabilities and value to PagerDuty customers.

With PagerDuty AI agents, powered by the PagerDuty Operations Cloud’s generative AI offering, PagerDuty Advance, organizations will be able to use agentic AI to reduce operating costs by automating repetitive tasks, mitigating risk by resolving incidents faster and increasing revenue by ensuring seamless customer experiences.

The company is building PagerDuty AI agents, starting with agents for site reliability engineering, operational insights and scheduling optimization. Beginning with the Spring 25 release, advanced AI agents will work with responders and autonomously resolve issues, empowering organizations to efficiently redeploy their resources towards higher-value work.

PagerDuty’s AI agents will include:  

  • Agentic Site Reliability Engineer: Will identify and classify operational issues, surfacing important context such as related or past issues and guiding responders with recommendations to accelerate resolution, thus mitigating business risk caused by operational disruption and enhancing the customer experience.
  • Agentic Operations Analyst: Will analyze data across an organization’s ecosystem of tools to identify patterns needed for strategic operational decisions, continuously improving operational and business efficiency.
  • Agentic Scheduler: Will preempt scheduling and availability conflicts by dynamically adjusting on-call shifts to ensure seamless responder coverage, driving faster resolution that can result in lower operational costs and positive customer impact.
  • AI use case library: To help PagerDuty customers realize the full potential of generative AI and agentic innovation, PagerDuty is launching a curated repository of field-tested AI prompts with relevant integrations. The use case library empowers customers to customize and combine generative AI prompts to address a wide range of mission-critical use cases and business challenges – ensuring fast time to value, guided by generative AI best practices.

“Operations leaders have high expectations for the business value of AI and automation,” said Jeffrey Hausman, chief product development officer at PagerDuty. “With the AI-powered PagerDuty Operations Cloud, teams can make smarter decisions, resolve critical issues faster and focus on top-level business priorities. We are excited to bring PagerDuty AI agents to market that will enable operations teams to gain time and efficiency, enabling them to focus on increasing revenues and improving customer satisfaction, while reducing operating costs.”

PagerDuty continues to invest in these relationships to ensure its customers can realize the benefits of the PagerDuty Operations Cloud:  

  • Slack AI Assistant - PagerDuty Advance’s generative AI capabilities can now be directly accessed within Slack’s AI partner ecosystem. The PagerDuty Slack assistant enables responders to work seamlessly with greater context and move decisively to resolve issues faster, efficiently mitigating risk and enhancing customer experience. PagerDuty is the only industry-leading IT operations platform selected as a launch partner in Slack’s AI Assistant inaugural program.
  • Zoom - Zoom and PagerDuty are collaborating to increase efficiency across IT and Engineering teams by applying generative AI to automatically summarize rich incident notes and post-incident reviews, speeding up organizational collaboration to resolve issues and learn faster to preempt future disruptions. The new Zoom real-time API integration will be available for early access in Q2.
  • Amazon Q - PagerDuty was the first incident management platform to integrate with Amazon Q Business, and PagerDuty will continue to expand that relationship with integration to the Amazon Q Data Accessor capability. Businesses use over 100 SaaS applications on average, often creating data silos that hinder AI’s potential to drive true operational resilience. Bringing PagerDuty Advance together with Amazon Q will unlock those silos and make that data actionable. For example, using data accessible by Amazon Q, PagerDuty Advance could analyze a medical device company's customer trial data, flag an anomaly, identify the root cause, and recommend the replacement of a faulty component before mass production. This AI-driven, integrated approach to operational transparency and resiliency could prevent costly recalls, lawsuits, and regulatory fines while preserving customer trust and ensuring safety and compliance. The Amazon Q and PagerDuty data integration will be available for early access in Q2.

PagerDuty is redefining its Business and Professional plans for Incident Management by including critical AI and automation capabilities across all paid tiers to deliver full end-to-end incident management for all customers. This new approach embeds select premium features within the Business and Professional plans for Incident Management, with a unified chat experience where teams can leverage the PagerDuty platform within a single interface. These updates deliver greater value at no additional cost, ensuring that all types of businesses grow seamlessly with PagerDuty while streamlining their operations across a scalable enterprise-grade platform.

The first PagerDuty AI agent will be available for early access in North America starting in the fiscal year Q2 of 2025.

The PagerDuty AI use case library is now generally available in all regions.

Unified chat experience and Incident Types are now generally available for PagerDuty Incident Management and Customer Service Operations customers.

The Slack AI Assistant with integrated PagerDuty Advance is now generally available in North America.

The Zoom real-time API PagerDuty integration will be available for early access in North America in Q2 of 2025.

The PagerDuty Advance and Amazon Q Data Accessor integration will be available for early access in North America in Q2 of 2025.

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PagerDuty Announces Latest Release of Operations Cloud Platform

Learn more about PagerDuty

PagerDuty will add new agentic AI functionality across the PagerDuty Operations Cloud platform beginning with its Spring 25 release, which will help enterprises solve high-impact, mission-critical issues. 

The company also announced new packaging of its Incident Management products to deliver premium features, capabilities and value to PagerDuty customers.

With PagerDuty AI agents, powered by the PagerDuty Operations Cloud’s generative AI offering, PagerDuty Advance, organizations will be able to use agentic AI to reduce operating costs by automating repetitive tasks, mitigating risk by resolving incidents faster and increasing revenue by ensuring seamless customer experiences.

The company is building PagerDuty AI agents, starting with agents for site reliability engineering, operational insights and scheduling optimization. Beginning with the Spring 25 release, advanced AI agents will work with responders and autonomously resolve issues, empowering organizations to efficiently redeploy their resources towards higher-value work.

PagerDuty’s AI agents will include:  

  • Agentic Site Reliability Engineer: Will identify and classify operational issues, surfacing important context such as related or past issues and guiding responders with recommendations to accelerate resolution, thus mitigating business risk caused by operational disruption and enhancing the customer experience.
  • Agentic Operations Analyst: Will analyze data across an organization’s ecosystem of tools to identify patterns needed for strategic operational decisions, continuously improving operational and business efficiency.
  • Agentic Scheduler: Will preempt scheduling and availability conflicts by dynamically adjusting on-call shifts to ensure seamless responder coverage, driving faster resolution that can result in lower operational costs and positive customer impact.
  • AI use case library: To help PagerDuty customers realize the full potential of generative AI and agentic innovation, PagerDuty is launching a curated repository of field-tested AI prompts with relevant integrations. The use case library empowers customers to customize and combine generative AI prompts to address a wide range of mission-critical use cases and business challenges – ensuring fast time to value, guided by generative AI best practices.

“Operations leaders have high expectations for the business value of AI and automation,” said Jeffrey Hausman, chief product development officer at PagerDuty. “With the AI-powered PagerDuty Operations Cloud, teams can make smarter decisions, resolve critical issues faster and focus on top-level business priorities. We are excited to bring PagerDuty AI agents to market that will enable operations teams to gain time and efficiency, enabling them to focus on increasing revenues and improving customer satisfaction, while reducing operating costs.”

PagerDuty continues to invest in these relationships to ensure its customers can realize the benefits of the PagerDuty Operations Cloud:  

  • Slack AI Assistant - PagerDuty Advance’s generative AI capabilities can now be directly accessed within Slack’s AI partner ecosystem. The PagerDuty Slack assistant enables responders to work seamlessly with greater context and move decisively to resolve issues faster, efficiently mitigating risk and enhancing customer experience. PagerDuty is the only industry-leading IT operations platform selected as a launch partner in Slack’s AI Assistant inaugural program.
  • Zoom - Zoom and PagerDuty are collaborating to increase efficiency across IT and Engineering teams by applying generative AI to automatically summarize rich incident notes and post-incident reviews, speeding up organizational collaboration to resolve issues and learn faster to preempt future disruptions. The new Zoom real-time API integration will be available for early access in Q2.
  • Amazon Q - PagerDuty was the first incident management platform to integrate with Amazon Q Business, and PagerDuty will continue to expand that relationship with integration to the Amazon Q Data Accessor capability. Businesses use over 100 SaaS applications on average, often creating data silos that hinder AI’s potential to drive true operational resilience. Bringing PagerDuty Advance together with Amazon Q will unlock those silos and make that data actionable. For example, using data accessible by Amazon Q, PagerDuty Advance could analyze a medical device company's customer trial data, flag an anomaly, identify the root cause, and recommend the replacement of a faulty component before mass production. This AI-driven, integrated approach to operational transparency and resiliency could prevent costly recalls, lawsuits, and regulatory fines while preserving customer trust and ensuring safety and compliance. The Amazon Q and PagerDuty data integration will be available for early access in Q2.

PagerDuty is redefining its Business and Professional plans for Incident Management by including critical AI and automation capabilities across all paid tiers to deliver full end-to-end incident management for all customers. This new approach embeds select premium features within the Business and Professional plans for Incident Management, with a unified chat experience where teams can leverage the PagerDuty platform within a single interface. These updates deliver greater value at no additional cost, ensuring that all types of businesses grow seamlessly with PagerDuty while streamlining their operations across a scalable enterprise-grade platform.

The first PagerDuty AI agent will be available for early access in North America starting in the fiscal year Q2 of 2025.

The PagerDuty AI use case library is now generally available in all regions.

Unified chat experience and Incident Types are now generally available for PagerDuty Incident Management and Customer Service Operations customers.

The Slack AI Assistant with integrated PagerDuty Advance is now generally available in North America.

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Preparing Network Infrastructure for AI Starts with the Basics

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

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Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

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Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

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Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

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