Ariel RussoJuly 1, 2026 | 3 min read This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how AI Orchestrations builds towards this vision.
“We should automate this.” Sound familiar? For many operations teams, that sentence never becomes action. Building event orchestration rules demands deep platform expertise, time no one has, and the ability to spot which patterns in your data actually matter. So alert fatigue lingers. Toil piles up. Automation stays on the distant roadmap.
PagerDuty’s new AI Orchestrations capability was built to close that gap — for good.
From Reactive to Proactive, Automatically
AI Orchestrations analyzes your historical event and incident data (including how responders have manually intervened during past incidents) and surfaces ready-to-apply recommendations for event orchestration rules. No rule syntax. No expert configuration. Just a plain-language description of what the rule does, how many alerts or incidents it would have improved, and a confidence score based on past accuracy.
The result is a global recommendations view across all of your services: every AI-generated suggestion, ranked, filterable by team, and actionable in a single click.
What Gets Recommended
The system surfaces several types of rules based on detected patterns in your data:
Suppression— silence low-value alerts before they become incidents** Severity**— dynamically set alert severity so responders know what demands immediate attention** Priority**— automatically triage incidents so teams focus on what matters
Each recommendation includes impact metrics — how many past events would have been affected — and a precision score so teams can validate before applying.
Human in the Loop, Friction Removed
AI-suggested rules live in a dedicated AI Orchestration Segment that runs after your existing manual rules. Your current logic always runs first. When a recommendation looks right, you apply it with one click. When it’s not relevant — or when you’d rather fix the underlying monitor than suppress the alert — you dismiss it, and that feedback improves future recommendations for your service.
This keeps humans in control while eliminating the #1 barrier to automation adoption: the expertise required to build rules in the first place.
The Flywheel Effect
Every incident your team responds to contains signal. AI Orchestrations turns that signal into automation — and better automation means fewer incidents, less noise, and faster resolution. Teams using event-driven automation see** 46% fewer incidents and up to 30% lower FTE costs.** Over time, the platform gets smarter as your data evolves, creating a continuous flywheel: incidents inform automation, automation prevents incidents.
This is how PagerDuty delivers on the vision of Autonomous Operations — not by replacing human judgment, but by making it easier to apply at scale.
Available Now for AIOps Customers
AI Orchestrations is Generally Available today for PagerDuty AIOps customers. If your team is spending time manually triaging repetitive alerts, struggling with low event orchestration adoption, or onboarding new members who don’t have bandwidth to configure automations — this is the place to start.