PagerDuty Agentic AI Integration for Intelligent Incident Response

Transform Your On-Call Experience with an Agentic SRE

NeuBird’s Hawkeye seamlessly integrates with PagerDuty, proactively picking up incidents and giving your SRE and support teams a head-start on every incident with instant RCA. Acting as your digital SRE, Hawkeye gathers context, prepares detailed remediation plans, and helps IT teams handle routine issues around the clock.

Why teams use Hawkeye with PagerDuty

Stop waking up to incomplete context
You get a pre-built investigation report with Azure metrics, AWS logs, and ServiceNow ticket history, ready before your on-call engineer joins the call. No more spending 20 minutes just figuring out what happened.

Reduce Mean Time To Resolve (MTTR) Drastically

Converts PagerDuty incident alerts into actionable root cause analysis with up to a 90% decrease in MTTR through autonomous investigation.

Investigate across your entire observability stack, not just one tool

Unlocks AI incident resolution workflows across OpenTelemetry, DataDog, ServiceNow, Amazon CloudWatch, Microsoft Azure Monitor and other observability tools for comprehensive incident response beyond alert correlation.

Reduce alert fatigue with intelligent analysis

Beyond PagerDuty’s noise reduction, Hawkeye analyzes recurring escalations and non-actionable alerts to optimize your alerting rules. You’ll identify which alerts waste time and which ones need better thresholds, with all these helping you improve signal quality over time.

How it Works

Connect PagerDuty to Hawkeye

Add Hawkeye to your PagerDuty environment in just a few clicks. Follow our PagerDuty integration guide to set up the API connection.

Hawkeye investigates when incidents trigger

When a PagerDuty alert meets your conditions, Hawkeye launches an investigation automatically. It gathers telemetry from Datadog, AWS, Azure, and your observability tools to understand what’s happening.

Get root-cause analysis in minutes

Hawkeye reviews the collected data, identifies the source of the problem, and provides clear remediation steps. Engineers see exactly what went wrong and how to fix it without manual digging.

PagerDuty + Hawkeye AI SRE Use Cases

Handle off-hour alerts before your team wakes up

A PagerDuty alert fires at 3 a.m. Hawkeye immediately investigates across Datadog APM traces, AWS CloudWatch logs, and recent deployments. By the time your engineer logs in, a complete report is ready showing that deployment “api-v3” introduced a database connection timeout affecting twelve services. Resolution starts right away instead of thirty minutes later.

Cross-platform incident investigation without manual correlation

CPU spikes appear in Datadog, PagerDuty triggers an alert, and ServiceNow opens a ticket. Hawkeye connects the dots automatically. It reports that an AWS autoscaling policy change at 1:15 p.m. caused CPU pressure across eight containers.

Enrich on-call handoffs with complete context

When shifts change, Hawkeye briefs the next engineer with pre-analyzed data. They see Azure resource changes, AWS deployment history, and ServiceNow ticket updates all in one timeline instead of reading a short alert summary.

Refine alerting rules with real investigation data

Hawkeye tracks which alerts require action, which resolve automatically, and which are false positives. You can identify noisy alerts, adjust thresholds, and improve signal quality while reducing fatigue far beyond what PagerDuty alone can do.

Create detailed post-incident reports

After an incident closes, Hawkeye builds a full postmortem that includes the investigation timeline, infrastructure changes, affected services, and recommended improvements. Your team gets clear action items for continuous reliability without spending time writing reports.

Integration Help

Need help to set up the connection? Follow our detailed PagerDuty integration setup guide.