Swiftask connects your data flows to Tisane Labs. Automatically identify entities, topics, and key concepts in your documents, emails, and customer reviews.
Result:
Turn raw text data into structured, actionable insights in an instant.
Manual text data processing slows down your teams
Manually extracting entities (names, locations, products, concepts) from large volumes of text is tedious, error-prone, and expensive. Companies lose valuable time structuring data that could be handled by AI.
Main negative impacts:
Swiftask integrates Tisane Labs to automate entity extraction. As soon as text is received, your AI agent analyzes it, identifies relevant entities, and pushes them to your database or CRM.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A customer sends a detailed feedback. An employee must read it, manually identify mentioned products and associated sentiments, then copy this info into a spreadsheet. The process is slow and information remains siloed.
With Swiftask + Tisane Labs
Upon feedback receipt, the Swiftask agent sends the text to Tisane Labs. Entities are extracted automatically and pushed directly into your CRM, classified and ready for analysis. Zero manual entry.
Set up your extraction workflow in 4 steps
STEP 1 : Initialize your Swiftask agent
Create your agent in Swiftask and define its role: orchestrating entity extraction from your data sources.
STEP 2 : Connect Tisane Labs API
Integrate Tisane Labs as your semantic analysis engine. Configuration is fast and secure via your API credentials.
STEP 3 : Define data flows
Tell Swiftask which sources to monitor (emails, forms, tickets) to automatically trigger extraction.
STEP 4 : Automate result export
Determine where to send extracted entities (Google Sheets, Notion, CRM) for immediate use by your teams.
Advanced semantic analysis capabilities
Tisane Labs analyzes linguistic nuances, context, and sentence structure for optimal precision during complex entity extraction.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-tisane-labs@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 with Tisane Labs
1. Linguistic precision
Benefit from Tisane Labs' power for precise entity recognition, even in complex or informal text.
2. Massive productivity gain
Eliminate manual data entry and free up your teams for higher-value tasks.
3. Structured data in real time
Your information is ready for use instantly after the source text is received.
4. Effortless scalability
Process thousands of documents without increasing your operational workload.
5. Data governance
Swiftask centralizes workflow control, ensuring your data is processed according to your business rules.
Security and compliance
Swiftask applies enterprise-grade security standards for your tisane labs automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your operations
| Metric | Before | After |
|---|---|---|
| Extraction time | Several minutes per text | A few milliseconds |
| Entry errors | Significant rate | 0% (automated) |
| Data volume processed | Limited by human resources | Unlimited (scalable) |
| Data availability | Lag of several days | Real-time |
Take action with tisane labs
Turn raw text data into structured, actionable insights in an instant.