Swiftask connects your AI agents to Airbrake. Stop just receiving alerts: analyze, qualify, and trigger resolutions automatically.
Result:
Lower your MTTR (Mean Time To Resolution) and free your technical teams from tedious triage tasks.
AI Agents
airbrake
Connector airbrake · Secure OAuth 2.0
Traditional monitoring creates too much noise. Your developers spend their time triaging non-critical Airbrake alerts instead of fixing real issues. This lack of filtering leads to cognitive fatigue and increased resolution times.
Main negative impacts:
Alert fatigue
The constant volume of errors masks critical incidents, increasing the risk of missing a major outage.
Manual triage time
Manually qualifying every error wastes valuable time that could be spent on feature development.
Limited reactivity
Between receiving the alert and human action, the response time is too long, directly impacting user experience.
Swiftask deploys AI agents that intercept your Airbrake alerts in real time. They filter, analyze criticality, and can even trigger automated remediation workflows.
BEFORE / AFTER
Without Swiftask
An error occurs. Airbrake sends a notification. The developer must leave their context, analyze the error, check if it's a duplicate, and manually decide on the priority. If it's outside business hours, the delay is critical.
With Swiftask + Airbrake
The AI agent receives the Airbrake alert, correlates it with history, eliminates false positives, and, if necessary, creates a ticket or notifies the relevant team with a pre-analyzed diagnosis. Resolution begins instantly.
1
STEP 1 : Connect Airbrake to Swiftask
Integrate Airbrake into your Swiftask workspace via webhook. The agent immediately starts receiving error streams.
2
STEP 2 : Define analysis rules
Teach your agent to distinguish critical errors from minor ones. Set up custom tolerance thresholds.
3
STEP 3 : Automate responses
Configure actions: Slack notification, Jira ticket creation, or launching a service restart script.
4
STEP 4 : Monitor activity
View all processed alerts and actions taken by the agent in the centralized dashboard.
The agent analyzes stack trace, frequency of occurrence, and user impact for every Airbrake error.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-airbrake@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.
Only errors requiring human intervention reach your developers.
Immediate qualification enables much faster incident resolution.
Centralize alert management and keep a complete history of actions taken.
Free your engineers from repetitive maintenance tasks.
Your agent handles thousands of alerts simultaneously, without faltering.
Swiftask applies enterprise-grade security standards for your airbrake automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Alert triage time | Minutes per alert | Instant |
| Non-critical alerts ignored | 0% | 90%+ |
| Mean Time To Resolution (MTTR) | High | Significantly reduced |
Lower your MTTR (Mean Time To Resolution) and free your technical teams from tedious triage tasks.