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PagerDuty Expands Generative AI Offerings and Enhances Analytics Capabilities

PagerDuty announced the introduction of AI-generated runbooks in early access, as well as powerful new analytics capabilities for the PagerDuty Operations Cloud℠.

Using PagerDuty Runbook Automation from the Operations Cloud, customers replace manual procedures with automated self-service workflows, potentially saving hundreds of working days per year. With PagerDuty’s new generative AI capabilities, customers could realize hundreds of thousands of dollars in annual operational cost savings by using natural-language prompts paired with prompt-engineering automation – high quality prompts iteratively guiding users – to initiate low-code autonomous runbooks for frequently deployed workflows and procedures within a company's IT operations process.

“Autonomous runbooks are a huge leap towards safe auto-remediation of critical applications and infrastructure when time really matters to a business,” said Jennifer Tejada, Chairperson and CEO at PagerDuty. “For large enterprises, this human-in-the loop, generative AI application can reduce operating costs by hundreds of thousands of dollars annually, mitigate risk and also support teams in protecting and growing revenue through ensuring more reliable customer-facing applications.”

This new feature in PagerDuty Runbook Automation is the latest in a series of PagerDuty’s GenAI capabilities, which will be available across the PagerDuty Operations Cloud to help organizations automate time-critical, high-impact work, improve productivity and meaningfully reduce operating costs in uncertain economic times.

PagerDuty Insights Reports help engineering and IT leadership act with greater confidence and advance operational maturity with data that predicts and prevents issues.

Additionally, PagerDuty's newly generally available analytics capabilities are available to all paying customers. The PagerDuty Insights Reports have been designed to provide teams with more granular visibility and control over operational health and maturity. Customers can now glean critical insights into the state of their operations, including which services are most impacted, SLA achievement, and team health including how many sleep/off-hour interruptions responders are receiving.

Customers leveraging PagerDuty analytics improved mean time to acknowledge (MTTA) incidents by 28%, as well as more equitable distribution of work and consistent response hours, equating to saving 100 hours of work time per year, per team. PagerDuty users can also utilize the Recommendations Report for potential noise compression, and a User Onboarding Report (early access) to help Admins and Managers understand which of their responders have activated, set up and are using their PagerDuty account properly.

“Both automation and data-driven, actionable insights are imperative for today’s organizations to succeed amidst a constantly evolving environment, lower barriers to entry and the accelerating pace of innovation,” said Sean Scott, Chief Product Development Officer at PagerDuty. “By leaning into the power of GenAI and the democratization of analytics, PagerDuty customers can speed up and ameliorate their operations, reduce costs and redeploy resources to delivering innovative solutions for their customers.”

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PagerDuty Expands Generative AI Offerings and Enhances Analytics Capabilities

PagerDuty announced the introduction of AI-generated runbooks in early access, as well as powerful new analytics capabilities for the PagerDuty Operations Cloud℠.

Using PagerDuty Runbook Automation from the Operations Cloud, customers replace manual procedures with automated self-service workflows, potentially saving hundreds of working days per year. With PagerDuty’s new generative AI capabilities, customers could realize hundreds of thousands of dollars in annual operational cost savings by using natural-language prompts paired with prompt-engineering automation – high quality prompts iteratively guiding users – to initiate low-code autonomous runbooks for frequently deployed workflows and procedures within a company's IT operations process.

“Autonomous runbooks are a huge leap towards safe auto-remediation of critical applications and infrastructure when time really matters to a business,” said Jennifer Tejada, Chairperson and CEO at PagerDuty. “For large enterprises, this human-in-the loop, generative AI application can reduce operating costs by hundreds of thousands of dollars annually, mitigate risk and also support teams in protecting and growing revenue through ensuring more reliable customer-facing applications.”

This new feature in PagerDuty Runbook Automation is the latest in a series of PagerDuty’s GenAI capabilities, which will be available across the PagerDuty Operations Cloud to help organizations automate time-critical, high-impact work, improve productivity and meaningfully reduce operating costs in uncertain economic times.

PagerDuty Insights Reports help engineering and IT leadership act with greater confidence and advance operational maturity with data that predicts and prevents issues.

Additionally, PagerDuty's newly generally available analytics capabilities are available to all paying customers. The PagerDuty Insights Reports have been designed to provide teams with more granular visibility and control over operational health and maturity. Customers can now glean critical insights into the state of their operations, including which services are most impacted, SLA achievement, and team health including how many sleep/off-hour interruptions responders are receiving.

Customers leveraging PagerDuty analytics improved mean time to acknowledge (MTTA) incidents by 28%, as well as more equitable distribution of work and consistent response hours, equating to saving 100 hours of work time per year, per team. PagerDuty users can also utilize the Recommendations Report for potential noise compression, and a User Onboarding Report (early access) to help Admins and Managers understand which of their responders have activated, set up and are using their PagerDuty account properly.

“Both automation and data-driven, actionable insights are imperative for today’s organizations to succeed amidst a constantly evolving environment, lower barriers to entry and the accelerating pace of innovation,” said Sean Scott, Chief Product Development Officer at PagerDuty. “By leaning into the power of GenAI and the democratization of analytics, PagerDuty customers can speed up and ameliorate their operations, reduce costs and redeploy resources to delivering innovative solutions for their customers.”

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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 ...

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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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