When you are managing thousands of services, "alert fatigue" isn’t just a buzzword—it’s a critical operational risk. At PagerDuty OnTour SF, we are bringing together incident leaders from Twilio and Intuit to discuss how they’ve moved beyond reactive firefighting to build resilient, AI-powered operations.
Gandhi Kumar, Principal Incident Commander at Twilio, will share how his team navigates a staggering 60,000+ monthly alerts. By leveraging PagerDuty AIOps, Twilio has successfully cut through the noise, transforming a torrent of data into targeted, actionable signals. Gandhi will also provide a "view from the commander's seat," offering hard-won advice on maintaining calm under pressure and knowing exactly when to automate versus when to escalate to a human.
Joining the conversation are Akshay Pratinav and Archana Kataria from Intuit, who will demonstrate their end-to-end automation framework for failovers and recovery. Their results speak for themselves: Intuit has achieved detection times of less than seven minutes and a nearly 50% reduction in time-to-resolve. They will also dive into how Generative AI is now revolutionizing their Root Cause Analysis process, making post-incident reviews faster and more insightful than ever before.
Whether you are looking for technical automation patterns or leadership strategies to prevent on-call burnout, this session offers a proven playbook for scaling incident response without overwhelming your engineers.
How is your team tackling alert noise as you scale? Drop a comment below, and join us on May 13th to hear how these enterprise leaders are getting AI right.