Swiftask integrates BART to automatically identify and extract key entities (names, dates, locations, organizations) from your text streams.
Resultat:
Turn raw text into actionable structured data instantly.
Manual document processing is a bottleneck
Manually extracting information from thousands of reports, emails, or contracts is a repetitive task prone to human error. Your teams waste valuable time handling unstructured data.
Les principaux impacts négatifs :
By integrating BART, Swiftask automates entity extraction with surgical precision, allowing for immediate ingestion into your databases.
AVANT / APRÈS
Ce qui change avec Swiftask
Before automation
An employee reads each document, manually identifies the necessary entities, and enters them into a spreadsheet. This process takes hours and is limited by fatigue.
With Swiftask + BART
As soon as a document is received, the Swiftask agent using BART analyzes the content, extracts the target entities, and automatically updates your information systems.
Setting up BART extraction in 4 steps
ÉTAPE 1 : Define entities
Specify in Swiftask the types of information to extract (e.g., order numbers, amounts, client names).
ÉTAPE 2 : Configure BART connector
Enable the BART model via the Swiftask interface to process incoming data streams.
ÉTAPE 3 : Data mapping
Link the extracted entities to the fields in your target applications (CRM, ERP, SQL databases).
ÉTAPE 4 : Validation and deployment
Test extraction on a sample and launch automatic processing in production.
Advanced processing capabilities of BART
BART analyzes the contextual structure of language to identify entities even in complex or ambiguous sentences.
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.
Why choose BART for your extraction
1. Superior accuracy
BART outperforms simple rule-based methods thanks to its contextual understanding.
2. Total scalability
Process thousands of documents per hour without adding staff.
3. Standardization
Obtain clean and structured data, ready for business intelligence.
4. Time saving
Free your teams from tedious manual entry tasks.
5. Seamless integration
Connect BART to your entire software ecosystem via Swiftask.
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
Automated extraction performance
| Métrique | Avant | Après |
|---|---|---|
| Extraction speed | Minutes per document | Milliseconds per document |
| Error rate | 5% to 10% (human) | < 1% (AI) |
| Cost per document | High | Negligible |
Passez à l'action avec bart
Turn raw text into actionable structured data instantly.