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Structure your text data with automated thematic classification

Swiftask integrates the Dandelion API to automatically analyze and classify your streams of documents, emails, and customer feedback.

Result:

Save valuable time on organizing your information and accelerate your decision-making process.

Information overload slows down your analysis

Manually processing thousands of documents to extract key themes is impossible. Without an automated system, your data remains unstructured, unusable, and buried in your databases.

Main negative impacts:

  • Unusable data: Your text archives are not indexed by theme, making critical information retrieval extremely slow.
  • Limited human analysis: Human eyes cannot process the volume of incoming data, creating blind spots in your strategic monitoring.
  • Inconsistent categories: Manual classification varies by operator, preventing reliable long-term comparative analysis.

With Swiftask and Dandelion, your AI agents classify every incoming text in real time. Themes are identified, normalized, and routed automatically to the right tools.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A team receives hundreds of support tickets. An analyst must read, identify the problem, and manually tag each ticket in your CRM. During volume spikes, response times skyrocket and tag quality decreases.

With Swiftask + Dandelion

As soon as a ticket arrives, your Swiftask agent sends it to Dandelion. The API analyzes the content, identifies key themes, and Swiftask automatically updates the ticket with the correct tags and priorities.

4 steps to automate your classification

STEP 1 : Configure your Swiftask agent

Create a dedicated semantic analysis agent from your Swiftask interface.

STEP 2 : Connect the Dandelion API

Integrate your Dandelion credentials into Swiftask to access advanced text analysis capabilities.

STEP 3 : Define routing rules

Determine the actions to take based on the themes detected by Dandelion.

STEP 4 : Deploy to production

Activate the workflow. Your data is now classified automatically and immediately.

Advanced semantic analysis capabilities

The integration allows you to go beyond simple keywords by understanding the semantic context of documents.

  • Target connector: The agent performs the right actions in dandelion based on event context.
  • Automated actions: Automated entity identification (people, places, organizations). Multi-level thematic categorization. Sentiment analysis associated with the theme. Data normalization for your BI tools.
  • Native governance: Swiftask centralizes analysis results for a comprehensive view of your data streams.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-dandelion@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.

Why automate your classification

1. Increased semantic precision

Dandelion offers deep text understanding, far superior to keyword-based rules.

2. Unlimited scalability

Process thousands of documents per hour without increasing your headcount.

3. Data standardization

Your data is systematically classified according to a rigorous and consistent taxonomy.

4. Reduced time-to-insight

Transform your raw text into actionable information in milliseconds.

5. Seamless integration

Swiftask connects Dandelion to your entire existing tech stack.

Data security and compliance

Swiftask applies enterprise-grade security standards for your dandelion automations.

  • Encrypted streams: All exchanges between Swiftask and Dandelion are secured by SSL/TLS protocols.
  • Total confidentiality: Your data is processed only for classification, without prolonged storage at the provider.
  • GDPR compliance: The architecture respects European data protection standards.
  • Centralized governance: You maintain full control over AI pipelines via your Swiftask dashboard.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your operational performance

MetricBeforeAfter
Classification accuracyVariable (human)98% (AI)
Processing volumeStaff-limitedUnlimited (automated)
Organization timeSeveral hours/dayReal-time
Processing costHigh (labor)Optimized (API)

Take action with dandelion

Save valuable time on organizing your information and accelerate your decision-making process.

Structure your data with Dandelion entity linking

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