Analytics and observability firm PagerDuty Inc. today announced new generative artificial intelligence and automation features for its PagerDuty Advance platform, developed in collaboration with Amazon Web Services Inc.

Unveiled at the annual AWS re:Invent conference by PagerDuty Chairperson and Chief Executive Officer Jennifer Tejada (pictured below) during AWS CEO Matt Garman’s keynote, the collaboration combines the abilities of PagerDuty Advance with Amazon Q Business, Amazon Bedrock and Amazon Bedrock Guardrails to allow organizations to safely deploy generative AI into their incident management process.

The collaboration seeks to address the issue where major service and operation disruptions continue to increase in frequency and cost. PagerDuty argues that at the same time, infrastructure and service have grown more complex and interdependent, leading to the need for a reliable way to respond, recover and learn from incidents to move toward prevention and to build automation across the organization.

The integrations between PagerDuty and AWS include leveraging Amazon Bedrock to power PagerDuty Advance Assistant for Slack and Microsoft Teams. The integration provides AI-driven incident context directly within chat applications, allowing for faster triage and decision-making during incidents. Through the automation of responses to queries, such as identifying affected services or recommending next steps, organizations can save significant time and reduce operational costs.

PagerDuty Advance’s use of Amazon Bedrock also enhances situational awareness for more thann 330 organizations, streamlining how teams address complex incidents. With these capabilities, PagerDuty says, businesses can respond more efficiently to disruptions, achieving an estimated savings of $490,000 for every 10 engineers involved in an incident response.

The second integration between PagerDuty and AWS incorporates Amazon Bedrock Guardrails to ensure the safe and responsible use of generative AI in incident management. The feature helps enforce AI policies, maintaining accuracy and relevance while blocking harmful or fraudulent content during queries.

By integrating Guardrails, PagerDuty Advance reduces the risk of AI errors such as hallucinations or inappropriate responses. The safeguards allow organizations to use generative AI confidently, improving operational efficiency without compromising safety.

The third integration between PagerDuty and AWS introduces Amazon Q Business to PagerDuty Advance to deliver a unified interface for incident management. This integration allows users to query and act on data across multiple third-party applications and, in doing so, eliminates the need to switch platforms during critical incidents.

With Amazon Q Business integration, the companies say, PagerDuty customers gain a centralized source of truth that significantly improves efficiency during incident resolution. According to PagerDuty, the streamlined approach saves an estimated 30 minutes per incident and reduces costs by up to $400,000 per occurrence.

“PagerDuty and AWS are strengthening our 11-year partnership, which already supports nearly 6,000 joint customers, to further integrate generative AI into digital operations management,” said Tejada.

PagerDuty Advance Built with Bedrock and its integration with Bedrock Guardrails are now generally available globally, while the PagerDuty Built-In Plugin for Amazon Q is available in the U.S. service region.

Image: PagerDuty