Swiftask transforms your monitoring within Autom. Our AI agents continuously analyze your workflows to detect incidents before they impact your business.
Result:
Move from reactive troubleshooting to predictive, automated supervision.
The limitations of manual process monitoring
Most existing monitoring systems rely on rigid thresholds, creating noise from irrelevant alerts or missing subtle anomalies. Without intelligence, your teams waste time investigating false positives.
Main negative impacts:
Swiftask connects your Autom workflows to an AI layer. You benefit from contextual analysis that filters out noise and alerts you only on events requiring real action.
BEFORE / AFTER
What changes with Swiftask
Standard monitoring
You receive a generic '500 Error' notification in Autom. You must open logs, cross-reference data, and figure out what failed on your own. High time-to-resolution.
AI monitoring with Swiftask
Your AI agent analyzes the error in Autom, identifies the root cause from recent data, and sends you a clear summary with a direct correction suggestion.
Deploying your intelligent supervision
STEP 1 : Agent initialization
Define the Autom workflows to monitor within your Swiftask interface.
STEP 2 : Threshold configuration
Set criteria for normality so the AI learns your specific standards.
STEP 3 : Alert channel connection
Choose where to receive notifications: Teams, Slack, email, or dashboard.
STEP 4 : Predictive mode activation
The agent starts real-time analysis and tunes alerts based on your feedback.
Advanced monitoring capabilities
The AI examines correlations between logs, data volume variations, and response times within your Autom workflows.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-autom@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.
Operational benefits
1. Reduced false positives
The AI understands your processes and alerts you only on real issues.
2. Faster MTTR
The context provided with the alert drastically reduces investigation time.
3. 24/7 Supervision
Your workflows are monitored non-stop, even outside business hours.
4. Enhanced compliance
Every incident is automatically documented in your audit log.
5. No-code scalability
Add new workflows to monitor without changing a single line of code.
Security and privacy
Swiftask applies enterprise-grade security standards for your autom automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance impact
| Metric | Before | After |
|---|---|---|
| Average investigation time | 60+ minutes | Under 5 minutes |
| Volume of useless alerts | High | Reduced by 90% |
| Process availability | Reactive | Preventive |
Take action with autom
Move from reactive troubleshooting to predictive, automated supervision.