Incident management · Production
Twilio uses PagerDuty AI-powered event orchestration to cut through alert noise and automate incident response
The problem
Twilio's platform engineering team faces aggressive SLAs and tens of thousands of alerts each month, requiring them to cut through noise and respond quickly to prevent customer impact.
Workflow diagram · grounded in source
1
High-volume alerts arrive
trigger
“aggressive SLAs and tens of thousands of alerts each month”
2
AI event orchestration
ai_action
“PagerDuty's AI-powered event orchestration to cut through the noise, automate response, and keep their services running 24/7”
3
Focused automated alerts delivered
output
“focused, automated alerts and smart incident response help his team stay calm, informed, and always ready to deliver”
Reported outcome
PagerDuty's AI-powered event orchestration helps Twilio cut through alert noise, automate response, and keep services running 24/7, with the team staying calm, informed, and always ready to deliver.
Reported metrics
Alert noise reductioncut through the noise
Response automationautomate response
Service availabilitykeep their services running 24/7
Reported stack
PagerDuty
Frequently asked questions
What did this team achieve with this AI workflow?
PagerDuty's AI-powered event orchestration helps Twilio cut through alert noise, automate response, and keep services running 24/7, with the team staying calm, informed, and always ready to deliver.
What tools did this team use?
PagerDuty.
What results were reported?
Alert noise reduction: cut through the noise; Response automation: automate response; Service availability: keep their services running 24/7 (source-reported, not independently verified).
How is this incident management AI workflow structured?
High-volume alerts arrive → AI event orchestration → Focused automated alerts delivered.