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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.

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

STEP 1 : Criteria definition

Configure in Swiftask what constitutes priority data for your organization.

STEP 2 : Autom integration

Integrate Swiftask into your existing Autom workflow to intercept incoming streams.

STEP 3 : AI learning

The agent learns to classify your data according to your specific priority rules.

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

1. Increased precision

Drastic reduction of false positives in your business alerts.

2. Massive time savings

Automation of sorting that frees up hours of intellectual work.

3. Improved visibility

Clean dashboards containing only what matters.

4. Scalability

The system handles thousands of lines without performance drops.

5. 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

MetricBeforeAfter
Filtered noise80% useless dataLess than 5%
Processing timeManual (hours/day)Automatic (milliseconds)
Classification accuracyVariable99.8%
Alert responsivenessDelayedReal-time

Take action with autom

Gain operational clarity and focus your resources on high-value alerts and information.

Anticipate your business needs with predictive AI analysis

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