Swiftask leverages the BART model to transform your unstructured information flows into actionable, organized data.
Resultat:
Save valuable time by automating the classification and structuring of your incoming information.
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.
Les principaux impacts négatifs :
Swiftask integrates BART to analyze and structure your data instantly. You define the output schema, and the AI automatically extracts and organizes key information.
AVANT / APRÈS
Ce qui change avec 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
ÉTAPE 1 : Define your data schema
Tell Swiftask the fields you want to extract and the expected output format (JSON, CSV, SQL).
ÉTAPE 2 : Connect your data source
Link your input streams (emails, APIs, forms) to the Swiftask agent configured with BART.
ÉTAPE 3 : Let BART analyze the content
The agent processes incoming data, extracts information, and normalizes it according to your schema.
ÉTAPE 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.
Chaque action est contextualisée et exécutée automatiquement au bon moment.
Chaque agent Swiftask utilise une identité dédiée (ex. agent-bart@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.
À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.
Operational benefits of AI structuring
1. Massive productivity gain
Eliminate manual entry and data cleaning tasks.
2. Increased accuracy
Reduce entry errors through automated and consistent extraction.
3. Faster time-to-insight
Your data is structured and ready for analysis as soon as it arrives.
4. Unlimited scalability
Handle growing document volumes without increasing headcount.
5. Total interoperability
Your structured data integrates natively with your entire software ecosystem.
Data security and privacy
Swiftask applique des standards de sécurité enterprise pour vos automatisations bart.
Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.
RÉSULTATS
Impact on your performance metrics
| Métrique | Avant | Après |
|---|---|---|
| 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 |
Passez à l'action avec bart
Save valuable time by automating the classification and structuring of your incoming information.