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.
AI Agents
dandelion
Connector dandelion · Secure OAuth 2.0
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
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.
1
STEP 1 : Configure your Swiftask agent
Create a dedicated semantic analysis agent from your Swiftask interface.
2
STEP 2 : Connect the Dandelion API
Integrate your Dandelion credentials into Swiftask to access advanced text analysis capabilities.
3
STEP 3 : Define routing rules
Determine the actions to take based on the themes detected by Dandelion.
4
STEP 4 : Deploy to production
Activate the workflow. Your data is now classified automatically and immediately.
The integration allows you to go beyond simple keywords by understanding the semantic context of documents.
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.
Dandelion offers deep text understanding, far superior to keyword-based rules.
Process thousands of documents per hour without increasing your headcount.
Your data is systematically classified according to a rigorous and consistent taxonomy.
Transform your raw text into actionable information in milliseconds.
Swiftask connects Dandelion to your entire existing tech stack.
Swiftask applies enterprise-grade security standards for your dandelion automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Classification accuracy | Variable (human) | 98% (AI) |
| Processing volume | Staff-limited | Unlimited (automated) |
| Organization time | Several hours/day | Real-time |
| Processing cost | High (labor) | Optimized (API) |
Save valuable time on organizing your information and accelerate your decision-making process.