• Pricing
Book a demo

Scale your PagerDuty incidents intelligently with AI

Swiftask connects your AI agents to PagerDuty. Stop wasting time manually triaging alerts: your agent automatically analyzes, qualifies, and escalates to the right experts.

Result:

Drastically reduce your MTTR (Mean Time To Repair) and eliminate alert fatigue.

Alert overload is paralyzing your engineering teams

SRE and DevOps teams are overwhelmed by the volume of PagerDuty alerts. Between false positives and misrouted alerts, response times increase and the risk of major incidents grows. Manual escalation management has become an unsustainable bottleneck.

Main negative impacts:

  • Team burnout and stress: Constant volume of unqualified alerts leads to exhaustion for on-call engineers.
  • Degraded response time: Critical incidents aren't always escalated to the right person quickly enough.
  • High operational noise: Too many alerts without context hinder visibility into truly critical issues.

Swiftask integrates AI into the core of your PagerDuty workflow. Your agent filters, enriches, and escalates only the incidents requiring human intervention, with all necessary context.

BEFORE / AFTER

What changes with Swiftask

Before Swiftask

An alert arrives in PagerDuty. The on-call engineer must manually assess severity, find who is available, and transfer the incident. If a routing error occurs, the incident stalls.

With Swiftask + PagerDuty

The AI agent intercepts the PagerDuty alert, analyzes associated logs, checks priority, and instantly escalates to the right engineer, providing a contextual summary.

Optimize your escalations in 4 simple steps

STEP 1 : Define your AI agent

Configure an agent in Swiftask dedicated to analyzing and routing your technical stack alerts.

STEP 2 : Connect PagerDuty

Link your PagerDuty account via our secure connector to allow the agent to read and act on incidents.

STEP 3 : Configure escalation rules

Set parameters for severity, error type, or service that trigger automatic action.

STEP 4 : Deployment and monitoring

Activate the agent and track its escalation decisions directly from your Swiftask dashboard.

Intelligent escalation features

The agent examines the source, frequency, error type, and historical incident data to determine the best course of action.

  • Target connector: The agent performs the right actions in pagerduty based on event context.
  • Automated actions: Automatic incident acknowledgment, routing to specific teams, adding contextual notes, triggering automated runbooks, status updates.
  • Native governance: Every decision made by the agent is documented for easier post-mortem analysis.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-pagerduty@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Major operational benefits

1. Noise reduction

Only relevant alerts reach your engineers.

2. Optimized MTTR

Escalation is instant and directed to the right technical expertise.

3. Enriched context

Every escalated alert arrives with an AI summary for quick resolution.

4. Guaranteed compliance

Complete traceability of all automatic escalation actions.

5. No-code agility

Adapt your escalation policies in a few clicks without touching code.

Security and IT governance

Swiftask applies enterprise-grade security standards for your pagerduty automations.

  • Secure authentication: Use of official PagerDuty APIs with fine-grained access control.
  • Full control: You maintain control over the AI agent's decision-making rules.
  • Full audit: Exhaustive history of every incident processed and escalated.
  • Data isolation: Your technical data remains siloed and secure.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your performance

MetricBeforeAfter
Triage time10-15 minutesUnder 30 seconds
Useless noiseHighReduced by 80%
Routing accuracyVariableHigh reliability
Response timeManualAutomated

Take action with pagerduty

Drastically reduce your MTTR (Mean Time To Repair) and eliminate alert fatigue.

Correlate your PagerDuty alerts for faster incident resolution

Next use case