Master your data streams with AI-powered filtering
Swiftask integrates with Autom to automatically sort incoming streams. Stop wasting time on irrelevant data.
Result:
Gain operational clarity and focus your resources on high-value alerts and information.
AI Agents
autom
Connector autom · Secure OAuth 2.0
Information overload slows down your teams
The volume of data arriving via your tools connected to Autom has become unmanageable. Your staff spends more time sorting than analyzing.
Main negative impacts:
Constant information noise
Useless notifications hide critical data, increasing the risk of errors and missed opportunities.
Delayed responsiveness
Time spent manually filtering delays responses to truly important events.
Cognitive fatigue
Manual management of massive streams drains your teams and lowers analysis quality.
Swiftask acts as an intelligent filter within your Autom pipelines. The AI analyzes each incoming data point, qualifies it, and redirects it according to your business rules.
BEFORE / AFTER
What changes with Swiftask
Manual stream management
Every data point arriving in Autom is treated equally. Your teams must manually mark, delete, or file thousands of entries, losing hours every week.
Intelligent filtering with Swiftask
The Swiftask agent instantly analyzes every stream in Autom. Only relevant data is forwarded; the rest is archived or categorized automatically.
Setting up your filtering in 4 steps
1
STEP 1 : Criteria definition
Configure in Swiftask what constitutes priority data for your organization.
2
STEP 2 : Autom integration
Integrate Swiftask into your existing Autom workflow to intercept incoming streams.
3
STEP 3 : AI learning
The agent learns to classify your data according to your specific priority rules.
4
STEP 4 : Stream activation
Filtering is live. Your systems receive only qualified and useful information.
Advanced sorting capabilities
Semantic analysis, anomaly detection, category classification, and priority scoring.
- Target connector: The agent performs the right actions in autom based on event context.
- Automated actions: Automatic redirection, data tagging, duplicate removal, grouped stream summaries.
- Native governance: The system is self-learning: the more you use it, the more precise the filtering becomes.
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.
Benefits of smart filtering
Increased precision
Drastic reduction of false positives in your business alerts.
Massive time savings
Automation of sorting that frees up hours of intellectual work.
Improved visibility
Clean dashboards containing only what matters.
Scalability
The system handles thousands of lines without performance drops.
Cost reduction
Optimization of your storage and analysis tool usage.
Security and compliance
Swiftask applies enterprise-grade security standards for your autom automations.
- Localized processing: Your streams are processed according to the strictest compliance standards.
- Data encryption: All data passing through Swiftask is encrypted in transit and at rest.
- Access control: Granular management of permissions on filtered streams.
- GDPR compliance: Processes designed to guarantee personal data protection.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance metrics
| Metric | Before | After |
|---|---|---|
| Filtered noise | 80% useless data | Less than 5% |
| Processing time | Manual (hours/day) | Automatic (milliseconds) |
| Classification accuracy | Variable | 99.8% |
| Alert responsiveness | Delayed | Real-time |
Take action with autom
Gain operational clarity and focus your resources on high-value alerts and information.