Master your incidents with proactive alert management via agentOS
Swiftask integrates with agentOS to turn raw alerts into intelligent actions. Detect, analyze, and resolve before customer impact.
Result:
Drastically reduce MTTR and free your technical teams from low-value alert fatigue.
AI Agents
agentos
Connector agentos · Secure OAuth 2.0
The chaos of non-prioritized alerts
Alert overload is the plague of modern IT teams. Too many notifications, not enough context, and decision fatigue that leads to missing actual critical signals.
Main negative impacts:
Alert fatigue
Constant notification volume leads to alerts being ignored, creating a major risk of missing a real outage.
High response times
Manual diagnosis takes too long, prolonging the impact of the incident on your services.
Operational silos
Monitoring tools operate in isolation, preventing a holistic view of your system health.
With Swiftask and agentOS, you centralize the alert stream. AI filters the noise, correlates events, and suggests automated remediation plans.
BEFORE / AFTER
What changes with Swiftask
Traditional reactive management
A system alert triggers. An engineer is notified, must log in, analyze logs, understand the source, and manually apply a fix. The service is already degraded.
Proactive management via agentOS
The AI agent receives the alert via agentOS, verifies real-time dependencies, executes a diagnostic script, and if the issue is known, launches an automatic resolution. The team is notified of the fix.
Deploying your proactive strategy
1
STEP 1 : Source synchronization
Connect your monitoring tools to agentOS to centralize all alert streams into Swiftask.
2
STEP 2 : Threshold definition
Configure criticality conditions and filtering rules to isolate relevant events.
3
STEP 3 : Scenario automation
Create automated response playbooks for recurring or known alerts.
4
STEP 4 : Monitoring and learning
Track the efficiency of your agents and refine remediation rules via Swiftask dashboards.
Advanced features for your operations
AI evaluates severity, business impact, and historical context for every signal sent by agentOS.
- Target connector: The agent performs the right actions in agentos based on event context.
- Automated actions: Multi-source correlation. Remediation script execution. Intelligent escalation to the right stakeholders. Automated incident ticket creation.
- Native governance: Every action is documented to ensure full compliance and facilitate post-mortems.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-agentos@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
Reduced MTTR
Resolution speed goes from minutes to seconds thanks to automation.
Team peace of mind
Less noise, fewer useless alerts, your engineers focus on innovation.
Service continuity
Anticipate outages before they affect your end users.
Standardization
Every incident is handled according to the best practices defined in your workflow.
Scalability
Manage thousands of simultaneous alerts without increasing your on-call team size.
Security and reliability
Swiftask applies enterprise-grade security standards for your agentos automations.
- Data encryption: All traffic between agentOS and Swiftask is encrypted end-to-end.
- Granular control: Precisely define access rights for automated actions.
- Auditability: Complete history of alerts and resolutions for your compliance needs.
- Manual override: Ability to disable automated actions at any time with one click.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your key metrics
| Metric | Before | After |
|---|---|---|
| MTTR (Resolution time) | 60+ minutes | < 5 minutes |
| Alert noise | High (80% false positives) | Minimal (AI filtering) |
| System uptime | 99.5% | 99.99% |
| Operational cost | High (on-call) | Optimized (automation) |
Take action with agentos
Drastically reduce MTTR and free your technical teams from low-value alert fatigue.