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PagerDuty Announces Latest Release of the Operations Cloud Platform, Including Agentic AI that Will Deliver Autonomous Site Reliability Engineer (SRE), Operational Insights and Scheduling Optimization Agents

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PagerDuty (NYSE:PD) announced its Spring 25 release featuring new agentic AI functionality across its Operations Cloud platform. The update introduces AI agents designed to deliver autonomous capabilities for site reliability engineering, operational insights, and scheduling optimization.

The company is launching three key AI agents:

  • An Agentic Site Reliability Engineer that identifies operational issues and accelerates resolution
  • An Agentic Operations Analyst that analyzes cross-ecosystem data for strategic decision-making
  • An Agentic Scheduler that dynamically adjusts on-call shifts to ensure coverage

PagerDuty is also introducing an AI use case library with field-tested AI prompts to help customers realize the full potential of generative AI. The company expanded integrations with Slack AI Assistant, Zoom, and Amazon Q to enhance operational efficiency.

Additionally, PagerDuty announced new packaging for its Incident Management products, embedding AI and automation capabilities across all paid tiers at no additional cost. The first AI agent will be available for early access in North America in Q2 2025.

PagerDuty (NYSE:PD) ha annunciato il rilascio della Spring 25, che presenta nuove funzionalità di intelligenza artificiale agentica sulla sua piattaforma Operations Cloud. L'aggiornamento introduce agenti AI progettati per fornire capacità autonome per l'ingegneria della affidabilità del sito, approfondimenti operativi e ottimizzazione della programmazione.

L'azienda sta lanciando tre agenti AI chiave:

  • Un Ingegnere della Affidabilità del Sito Agentico che identifica problemi operativi e accelera la risoluzione
  • Un Analista Operativo Agentico che analizza dati trasversali all'ecosistema per decisioni strategiche
  • Un Pianificatore Agentico che regola dinamicamente i turni di reperibilità per garantire la copertura

PagerDuty sta anche introducendo una libreria di casi d'uso AI con prompt AI testati sul campo per aiutare i clienti a realizzare il pieno potenziale dell'AI generativa. L'azienda ha ampliato le integrazioni con Slack AI Assistant, Zoom e Amazon Q per migliorare l'efficienza operativa.

Inoltre, PagerDuty ha annunciato un nuovo packaging per i suoi prodotti di Gestione degli Incidenti, incorporando capacità di AI e automazione in tutti i livelli a pagamento senza costi aggiuntivi. Il primo agente AI sarà disponibile per l'accesso anticipato in Nord America nel secondo trimestre del 2025.

PagerDuty (NYSE:PD) anunció su lanzamiento Spring 25, que presenta nuevas funcionalidades de IA agentiva en su plataforma Operations Cloud. La actualización introduce agentes de IA diseñados para ofrecer capacidades autónomas para la ingeniería de confiabilidad del sitio, conocimientos operativos y optimización de la programación.

La empresa está lanzando tres agentes de IA clave:

  • Un Ingeniero de Confiabilidad del Sitio Agentivo que identifica problemas operativos y acelera la resolución
  • Un Analista de Operaciones Agentivo que analiza datos transversales al ecosistema para la toma de decisiones estratégicas
  • Un Programador Agentivo que ajusta dinámicamente los turnos de guardia para asegurar la cobertura

PagerDuty también está introduciendo una biblioteca de casos de uso de IA con prompts de IA probados en el campo para ayudar a los clientes a realizar todo el potencial de la IA generativa. La empresa ha ampliado las integraciones con Slack AI Assistant, Zoom y Amazon Q para mejorar la eficiencia operativa.

Además, PagerDuty anunció un nuevo empaquetado para sus productos de Gestión de Incidentes, incorporando capacidades de IA y automatización en todos los niveles de pago sin costo adicional. El primer agente de IA estará disponible para acceso anticipado en América del Norte en el segundo trimestre de 2025.

PagerDuty (NYSE:PD)는 Operations Cloud 플랫폼에서 새로운 에이전틱 AI 기능을 포함한 Spring 25 릴리스를 발표했습니다. 이번 업데이트는 사이트 신뢰성 엔지니어링, 운영 통찰력 및 일정 최적화를 위한 자율 기능을 제공하도록 설계된 AI 에이전트를 도입합니다.

회사는 세 가지 주요 AI 에이전트를 출시합니다:

  • 운영 문제를 식별하고 해결을 가속화하는 에이전틱 사이트 신뢰성 엔지니어
  • 전략적 의사 결정을 위한 생태계 간 데이터를 분석하는 에이전틱 운영 분석가
  • 커버리지를 보장하기 위해 온콜 근무를 동적으로 조정하는 에이전틱 스케줄러

PagerDuty는 또한 고객이 생성 AI의 잠재력을 최대한 활용할 수 있도록 현장 테스트된 AI 프롬프트가 포함된 AI 사용 사례 라이브러리를 도입하고 있습니다. 이 회사는 운영 효율성을 높이기 위해 Slack AI Assistant, ZoomAmazon Q와의 통합을 확장했습니다.

또한 PagerDuty는 모든 유료 계층에 AI 및 자동화 기능을 통합하여 사고 관리 제품에 대한 새로운 패키지를 발표했습니다. 첫 번째 AI 에이전트는 2025년 2분기 북미에서 조기 액세스를 위해 제공될 예정입니다.

PagerDuty (NYSE:PD) a annoncé la sortie de sa version Spring 25, qui présente de nouvelles fonctionnalités d'IA agentive sur sa plateforme Operations Cloud. La mise à jour introduit des agents IA conçus pour offrir des capacités autonomes pour l'ingénierie de la fiabilité des sites, des insights opérationnels et l'optimisation de la planification.

L'entreprise lance trois agents IA clés :

  • Un Ingénieur de Fiabilité de Site Agentif qui identifie les problèmes opérationnels et accélère leur résolution
  • Un Analyste Opérationnel Agentif qui analyse les données inter-écosystémiques pour la prise de décision stratégique
  • Un Planificateur Agentif qui ajuste dynamiquement les shifts de garde pour garantir la couverture

PagerDuty introduit également une bibliothèque de cas d'utilisation de l'IA avec des prompts IA testés sur le terrain pour aider les clients à réaliser le plein potentiel de l'IA générative. L'entreprise a élargi ses intégrations avec Slack AI Assistant, Zoom et Amazon Q pour améliorer l'efficacité opérationnelle.

De plus, PagerDuty a annoncé un nouvel emballage pour ses produits de gestion des incidents, intégrant des capacités d'IA et d'automatisation dans tous les niveaux payants sans coût supplémentaire. Le premier agent IA sera disponible pour un accès anticipé en Amérique du Nord au deuxième trimestre 2025.

PagerDuty (NYSE:PD) hat seine Frühlingsversion 25 angekündigt, die neue agentische KI-Funktionen auf der Operations Cloud-Plattform bietet. Das Update führt KI-Agenten ein, die für autonome Fähigkeiten in der Site Reliability Engineering, Betriebsanalysen und Terminoptimierung konzipiert sind.

Das Unternehmen bringt drei wichtige KI-Agenten auf den Markt:

  • Ein Agentischer Site Reliability Engineer, der betriebliche Probleme identifiziert und die Lösung beschleunigt
  • Ein Agentischer Betriebsanalyst, der Daten über das gesamte Ökosystem hinweg analysiert, um strategische Entscheidungen zu treffen
  • Ein Agentischer Scheduler, der die Bereitschaftsschichten dynamisch anpasst, um die Abdeckung sicherzustellen

PagerDuty führt auch eine KI-Anwendungsbibliothek mit im Feld getesteten KI-Prompts ein, um Kunden zu helfen, das volle Potenzial der generativen KI auszuschöpfen. Das Unternehmen hat die Integrationen mit Slack AI Assistant, Zoom und Amazon Q erweitert, um die betriebliche Effizienz zu steigern.

Darüber hinaus kündigte PagerDuty eine neue Verpackung für seine Produkte im Incident Management an, die KI- und Automatisierungsfunktionen in allen kostenpflichtigen Stufen ohne zusätzliche Kosten integriert. Der erste KI-Agent wird im zweiten Quartal 2025 in Nordamerika für den frühen Zugang verfügbar sein.

Positive
  • Introduction of autonomous AI agents for site reliability engineering, operational insights, and scheduling
  • Launch of AI use case library with field-tested AI prompts
  • Expanded integrations with Slack, Zoom, and Amazon Q
  • Premium AI features included in all paid tiers at no additional cost
  • First industry-leading IT Operations platform selected for Slack's AI Assistant inaugural program
Negative
  • First AI agent only available in Q2 2025, indicating a significant wait time for full implementation
  • Initial availability to North America for several key features
  • No specific metrics on expected performance improvements or ROI from AI implementation

Insights

PagerDuty's announcement of agentic AI capabilities represents a significant strategic pivot that could reshape its competitive positioning in the $44 billion digital operations management market. The introduction of autonomous AI agents aligns with IDC's prediction that 50% of organizations will adopt function-specific enterprise agents by 2025, positioning PagerDuty at the forefront of this market evolution.

The three AI agents being developed—for site reliability engineering, operational insights, and scheduling optimization—target high-value operational pain points that directly impact customer experience and operational costs. This approach differentiates PagerDuty from competitors who are primarily focusing on generative AI for knowledge management rather than autonomous decision-making capabilities.

The repackaging of Incident Management offerings to include AI capabilities across all paid tiers represents a strategic land-and-expand approach. By embedding premium features at no additional cost, PagerDuty is likely aiming to increase adoption rates while setting the stage for upselling more advanced capabilities later. This could accelerate customer acquisition in the short term but may temporarily pressure average revenue per customer metrics until the strategy matures.

PagerDuty's integration strategy with Slack, Zoom, and Amazon Q reveals a deliberate ecosystem approach that addresses a critical challenge in the AIOps space: data fragmentation across the 100+ SaaS applications used by the average enterprise. The Amazon Q Data Accessor integration is particularly noteworthy as it could transform PagerDuty from a reactive incident management platform into a proactive business intelligence tool that identifies operational risks before they impact customers.

Implementation timeline analysis suggests PagerDuty is taking a measured approach with early access beginning in Q2 2025 for North American customers. This gradual rollout indicates the company is prioritizing reliability over speed, likely to ensure the AI agents deliver on their promised capabilities before wider deployment.

For investors, this announcement represents PagerDuty's most comprehensive attempt to leverage AI for sustainable competitive advantage. While the company faces competition from larger players like ServiceNow and Splunk, its specialized focus on digital operations and its head start in agentic AI development could create meaningful differentiation if execution meets expectations.

  • New AI agents and AI use case library will speed generative AI adoption and accelerate return on AI investments
  • Enhanced integration with critical third-party applications
  • New packaging delivers end-to-end Incident Management (IM) functionality to all IM customers plus the transformative power of AI and automation

LONDON--(BUSINESS WIRE)-- PagerDuty On Tour - PagerDuty, Inc. (NYSE:PD), a global leader in digital operations management, today announced it will add new agentic AI functionality across the PagerDuty Operations Cloud platform beginning with its Spring 25 release, which will help enterprises solve their most 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.

Agentic SRE assists with triage by running diagnostics and identifying recent changes. (Graphic: Business Wire)

Agentic SRE assists with triage by running diagnostics and identifying recent changes. (Graphic: Business Wire)

AI at the core of IT Operations

Advancements in AI are driving industry adoption toward more autonomous decision-making and improved human-AI agent collaboration. IDC predicts by 2025, 50% of organizations will use enterprise agents configured for specific business functions, instead of focusing on individual copilot technologies to achieve faster business value from AI.1 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.”

“We look forward to utilizing the new agentic AI capabilities from PagerDuty. It will help our teams be more efficient as menial tasks are offloaded to agents, freeing up responder bandwidth to focus on innovation and mission-critical work,” said Shawn Arledge, executive director, Incident Management at Sling TV.

Expanded integrations for PagerDuty’s generative AI

The benefits offered by generative AI and agentic AI can only be realized when customers are able to work from the applications they prefer with access to the critical cross-application data they need to manage mission-critical, time-sensitive operations. PagerDuty’s open ecosystem is unique in the industry, with over 700 integration partners and growing. 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.

New packaging for Incident Management embedded with AI and automation

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.

Availability

  • 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.

Additional Information

  • Read about all the latest updates to the PagerDuty Operations Cloud here.
  • Learn more about the new packages for Incident Management and Customer Service Operations, including the latest features to be made generally available, here.
  • Read about the PagerDuty and Slack AI Assistant partnership here.

PagerDuty On Tour 2025

PagerDuty On Tour is a series of global events convening business leaders, technologists, DevOps practitioners, site reliability engineers and more. Each event will include keynotes from executives and featured customers, product updates and deep-dives, and networking opportunities with peers, experts, and industry leaders. You can register for the event here: https://www.pagerduty.com/ontour/.

About PagerDuty Inc.

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management, enabling customers to achieve operational efficiency at scale with the PagerDuty Operations Cloud. The PagerDuty Operations Cloud combines AIOps, Automation, Customer Service Operations and Incident Management with a powerful generative AI assistant to create a flexible, resilient and scalable platform to increase innovation velocity, grow revenue, reduce cost, and mitigate the risk of operational failure. Half of the Fortune 500 and nearly 70% of the Fortune 100 rely on PagerDuty as essential infrastructure for the modern enterprise. To learn more and try PagerDuty for free, visit www.pagerduty.com.

The PagerDuty Operations Cloud

The PagerDuty Operations Cloud is the platform for mission-critical, time-critical operations work in the modern enterprise. Through the power of AI and automation, it detects and diagnoses disruptive events, mobilizes the right team members to respond, and streamlines infrastructure and workflows across your digital operations. The Operations Cloud is essential infrastructure for revolutionizing digital operations to compete and win as a modern digital business.

FORWARD-LOOKING STATEMENT

This press release contains forward-looking statements, including statements regarding the expected availability of new products, functionality, and related future opportunities. These forward-looking statements are not guarantees of future performance and involve significant risks. For a list and description of such risks, see the company’s Annual Report on Form 10-K/A for the year ended January 31, 2024, filed with the SEC on March 18, 2024.

_________________________________
1IDC: FutureScape: Worldwide IT Industry 2025 Predictions, doc #US51736824, October 2024

Media Contact

Joel Jamora

media@pagerduty.com

Investor Contact

Tony Righetti

investor@pagerduty.com

SOURCE PagerDuty

Source: PagerDuty, Inc.

FAQ

When will PagerDuty's new AI agents be available for customers?

The first PagerDuty AI agent will be available for early access in North America starting in fiscal year Q2 of 2025. The AI use case library is already generally available in all regions.

What are the three AI agents PagerDuty is introducing in its Spring 25 release?

PagerDuty is introducing three AI agents: Agentic Site Reliability Engineer (identifies operational issues), Agentic Operations Analyst (analyzes cross-ecosystem data), and Agentic Scheduler (dynamically adjusts on-call shifts).

How is PagerDuty integrating with other platforms for its AI capabilities?

PagerDuty is expanding integrations with Slack AI Assistant (now generally available in North America), Zoom (early access in Q2 2025), and Amazon Q Data Accessor (early access in Q2 2025).

What changes is PagerDuty (PD) making to its Incident Management packages?

PagerDuty is redefining its Business and Professional plans by including critical AI and automation capabilities across all paid tiers at no additional cost, delivering full end-to-end incident management for all customers.

How might PagerDuty's new AI agents impact operational costs for businesses?

According to PagerDuty, the AI agents can reduce operating costs by automating repetitive tasks, mitigate risk by resolving incidents faster, and increase revenue by ensuring seamless customer experiences.

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