iTechSmart UAIO intercepts PagerDuty incidents before they escalate. The problem is classified, diagnosed, and resolved autonomously — with proof-of-fix — while your engineers sleep through the night.
An incident fires in PagerDuty from any source: Datadog, CloudWatch, Prometheus, custom monitors. The webhook extension sends the payload to UAIO before escalation starts.
UAIO receives the incident within seconds. Classification begins immediately. Your escalation policy pauses while autonomous remediation runs, so no one gets paged yet.
The incident is classified, root cause is identified, and the matching runbook executes. UAIO captures terminal output, log diffs, and before/after system state throughout.
Once the fix is verified, UAIO resolves the PagerDuty incident via the API with a full proof-of-fix note. Your on-call engineer never knew it happened.
Deploy this handler as an Express route or serverless function. It classifies via the iTechSmart API and auto-resolves the PagerDuty incident when confidence is high.
// PagerDuty Webhook Handler — iTechSmart UAIO
// Deploy as a serverless function or Express route
const ITECHSMART_API = "https://api.itechsmart.dev/v1/classify";
const ITECHSMART_KEY = process.env.ITECHSMART_API_KEY;
const PAGERDUTY_KEY = process.env.PAGERDUTY_API_KEY;
export async function handlePagerDutyWebhook(req, res) {
const event = req.body.event;
// Only act on new incidents
if (event.event_type !== "incident.triggered") {
return res.status(200).json({ skipped: true });
}
const incident = event.data;
// Step 1: Send to iTechSmart UAIO for classification
const classify = await fetch(ITECHSMART_API, {
method: "POST",
headers: {
"Authorization": `Bearer ${ITECHSMART_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
source: "pagerduty",
incident_id: incident.id,
title: incident.title,
urgency: incident.urgency,
service: incident.service?.summary,
description: incident.body?.details || incident.title,
escalation_policy: incident.escalation_policy?.summary,
created_at: incident.created_at,
}),
});
const result = await classify.json();
// Step 2: If confidence is high enough, auto-resolve
if (result.confidence >= 0.90 && result.remediation_status === "success") {
await fetch(`https://api.pagerduty.com/incidents/${incident.id}`, {
method: "PUT",
headers: {
"Authorization": `Token token=${PAGERDUTY_KEY}`,
"Content-Type": "application/json",
"From": "[email protected]",
},
body: JSON.stringify({
incident: {
type: "incident_reference",
status: "resolved",
resolution: [
"[iTechSmart UAIO] Auto-resolved",
`Classification: ${result.classification}`,
`Confidence: ${(result.confidence * 100).toFixed(1)}%`,
`Root Cause: ${result.root_cause}`,
`Proof: ${result.proof_of_fix}`,
].join("\n"),
},
}),
});
return res.status(200).json({
resolved: true,
classification: result.classification,
proof: result.proof_of_fix,
});
}
// Confidence too low — let escalation proceed normally
return res.status(200).json({
resolved: false,
reason: "below_confidence_threshold",
confidence: result.confidence,
});
}No. PagerDuty remains your incident management and escalation platform. iTechSmart UAIO sits between your monitors and your engineers: it intercepts incidents, fixes them, and resolves them via the PagerDuty API. If UAIO cannot fix an incident, escalation proceeds normally and your on-call engineer gets paged as usual.
UAIO never suppresses a real incident. If remediation fails or confidence is below your threshold, the PagerDuty escalation policy resumes immediately. The incident gets a note with full diagnostic context: what was attempted, what failed, and recommended manual steps. Your engineer gets paged with more context than they would have had otherwise.
Yes. Every auto-resolved incident includes a detailed proof-of-fix note directly in PagerDuty: classification, root cause, remediation steps taken, terminal output, log diffs, and before/after system state. Your team can review every action UAIO took in the PagerDuty timeline. Nothing is hidden.
Yes. UAIO runs with scoped permissions you define. You control which services, urgency levels, and escalation policies UAIO can intercept. Most customers start with low-urgency incidents on non-critical services, validate the results, and expand from there. UAIO also has a dry-run mode that classifies without remediating.
Connect PagerDuty to iTechSmart UAIO and stop waking up engineers for problems that fix themselves. Start with low-urgency incidents and expand when you trust it.