Structure your complex data with the power of BART
Swiftask leverages the BART model to transform your unstructured information flows into actionable, organized data.
Result:
Save valuable time by automating the classification and structuring of your incoming information.
AI Agents
bart
Connector bart · Secure OAuth 2.0
Manual unstructured data management slows your growth
Extracting relevant information from reports, emails, or unstructured documents is a repetitive and error-prone task. Without automation, your teams waste valuable time manually organizing data instead of analyzing it.
Main negative impacts:
High risk of human error
Manual entry and classification inevitably lead to inconsistencies that undermine the reliability of your databases.
Inefficient operational processes
Time spent cleaning data is time taken away from strategic decision-making.
Data not ready for real-time use
Manual processing delays prevent immediate responsiveness to new incoming information.
Swiftask integrates BART to analyze and structure your data instantly. You define the output schema, and the AI automatically extracts and organizes key information.
BEFORE / AFTER
What changes with Swiftask
Traditional data management
An analyst receives dozens of reports a day. They must read each document, extract key points, format them manually into a table, and then import them. This process is slow, expensive, and tiring.
Optimization via Swiftask and BART
As soon as a document is received, the Swiftask agent using BART analyzes it. It automatically extracts entities, dates, and values, and structures them into your target database. Your teams receive ready-to-use data.
4 steps to automatically structure your data
1
STEP 1 : Define your data schema
Tell Swiftask the fields you want to extract and the expected output format (JSON, CSV, SQL).
2
STEP 2 : Connect your data source
Link your input streams (emails, APIs, forms) to the Swiftask agent configured with BART.
3
STEP 3 : Let BART analyze the content
The agent processes incoming data, extracts information, and normalizes it according to your schema.
4
STEP 4 : Integrate with your business tools
Structured data is automatically sent to your CRM, ERP, or BI tool via Swiftask connectors.
Advanced processing capabilities with BART
BART analyzes the global semantic context of your documents for precise extraction, even in dense text.
- Target connector: The agent performs the right actions in bart based on event context.
- Automated actions: Named entity extraction. Automatic summarization of long documents. Normalization of date and currency formats. Automatic classification by category. Transformation of free text into structured tables.
- Native governance: All transformations are auditable within Swiftask to ensure constant data quality.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-bart@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.
Operational benefits of AI structuring
Massive productivity gain
Eliminate manual entry and data cleaning tasks.
Increased accuracy
Reduce entry errors through automated and consistent extraction.
Faster time-to-insight
Your data is structured and ready for analysis as soon as it arrives.
Unlimited scalability
Handle growing document volumes without increasing headcount.
Total interoperability
Your structured data integrates natively with your entire software ecosystem.
Data security and privacy
Swiftask applies enterprise-grade security standards for your bart automations.
- Secure processing: Swiftask ensures your data remains private and is not used to train base models.
- Access governance: Granular control over who can configure data structuring agents.
- GDPR compliance: Processes designed to meet the strictest data protection standards.
- Full audit: Every transformation is logged for total traceability.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance metrics
| Metric | Before | After |
|---|---|---|
| Processing time | Hours per document | A few seconds |
| Error rate | 5% to 10% (human) | <0.1% (AI) |
| Data volume handled | Limited by human capacity | Unlimited |
| Operational cost | High (labor) | Drastically reduced |
Take action with bart
Save valuable time by automating the classification and structuring of your incoming information.