PagerDuty, a leading provider of digital operations management, has introduced AI-generated runbooks in its PagerDuty Operations Cloud. This innovative feature enables customers to replace manual procedures with automated self-service workflows, potentially saving hundreds of working days per year.
The new generative AI capabilities offered by PagerDuty have the potential to deliver significant cost savings through the use of natural-language prompts paired with prompt-engineering automation. These high-quality prompts iteratively guide users in initiating low-code autonomous runbooks for frequently deployed workflows and procedures within a company’s IT operations process.
Jennifer Tejada, Chairperson and CEO at PagerDuty, emphasized the importance of autonomous runbooks in ensuring the safe auto-remediation of critical applications and infrastructure. She highlighted that this generative AI application can reduce operating costs by hundreds of thousands of dollars annually for large enterprises. Additionally, it mitigates risks and supports teams in protecting and growing revenue by ensuring more reliable customer-facing applications.
According to Gartner, the combination of humans and AI assistants working together could reduce the time to complete coding tasks by 30% by 2028. PagerDuty aims to democratize automation creation within engineering teams and accelerate the onboarding of new users. By doing so, customers can reduce the time to develop new automated runbooks by 75-80%, moving from hours to minutes. By automating more runbooks, organizations can save hundreds of thousands of dollars per year, improve productivity, and alleviate repetitive work.
PagerDuty’s Runbook Automation, equipped with AI capabilities, is part of a series of GenAI offerings. These capabilities will be available across the PagerDuty Operations Cloud, empowering organizations to automate time-critical, high-impact work. This automation ultimately improves productivity and significantly reduces operating costs, especially in uncertain economic times.
In addition to AI-generated runbooks, PagerDuty has also released new analytics capabilities. These capabilities are designed to help CIOs and CTOs achieve cost optimization, enhance service performance, and improve customer and employee experiences. By leveraging analytics to gain visibility and operational excellence, business and technology executives can make data-driven investments and resource allocation decisions.
PagerDuty Insights Reports provide engineering and IT leadership with granular visibility and control over operational health and maturity. These reports offer critical insights into the state of operations, including the impact on services, SLA achievement, and team health. For example, organizations can identify sleep/off-hour interruptions responders are receiving.
Customers leveraging PagerDuty analytics have reported significant improvements, including a 28% reduction in mean time to acknowledge incidents (MTTA) and more equitable distribution of work and consistent response hours. These improvements save an estimated 100 hours of work time per year, per team. Additionally, PagerDuty users can benefit from the Recommendations Report, which helps identify potential noise compression, and the User Onboarding Report, which assists admins and managers in understanding the proper activation and usage of their PagerDuty accounts.
Sean Scott, Chief Product Development Officer at PagerDuty, emphasized the importance of both automation and data-driven insights for organizations to succeed in today’s constantly evolving environment. By harnessing the power of GenAI and the democratization of analytics, PagerDuty customers can streamline and optimize their operations, reduce costs, and reallocate resources to delivering innovative solutions for their customers.
Overall, PagerDuty’s introduction of AI-generated runbooks and expanded analytics capabilities demonstrates the company’s commitment to empowering organizations with automation and data-driven insights. This will undoubtedly help organizations improve efficiency, reduce costs, and enhance operational maturity, ultimately fostering success in a rapidly changing digital landscape.