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PagerDuty Announces Latest Release of Operations Cloud Platform

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

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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...