Tarification

Intelligent archiving: automate your document workflows with Bytebot

Swiftask integrates with Bytebot to classify, index, and archive your data automatically. Find your documents in an instant with AI.

Resultat:

Eliminate disorganized folders and reduce document retrieval time.

Manual archiving complexity hinders your productivity

Manual data storage is a major source of inefficiency. Between poorly named files, forgotten directories, and the inability to find specific information, your teams lose valuable time.

Les principaux impacts négatifs :

Loss of critical information: Unclassified documents become invisible, leading to duplicates and poor decision-making.
Unnecessary storage costs: Accumulating unstructured data fills your servers and increases infrastructure costs.
Compliance risks: The lack of a clear archiving policy exposes the company to legal and security risks.

With Swiftask and Bytebot, create an intelligent archiving pipeline. The AI analyzes, categorizes, and archives every document in its right place, according to your business rules.

AVANT / APRÈS

Ce qui change avec Swiftask

The document chaos

Your employees spend hours manually renaming files and moving them into complex folders. Filing errors are common and searching becomes a nightmare.

Automated Swiftask archiving

Bytebot captures data flows. Swiftask, via its AI agents, analyzes the semantic content, extracts metadata, and automatically archives the document in the correct directory. Retrieval becomes instant.

4 steps to automate your archiving

ÉTAPE 1 : Connect Bytebot to Swiftask

Enable the Bytebot connector in your Swiftask interface to centralize your data flows.

ÉTAPE 2 : Define your classification rules

Configure your AI agents to identify document types and extract key information.

ÉTAPE 3 : Automate routing

Determine storage destinations (cloud, servers, databases) based on AI-generated tags.

ÉTAPE 4 : Monitor and optimize

Check the Swiftask dashboard to verify archive integrity and adjust your classification rules.

AI-powered archiving capabilities

Our agents analyze the context, format, and intent of the document for precise indexing.

Connecteur cible : L'agent exécute les bonnes actions dans bytebot selon le contexte de l'événement.
Actions automatisées : Automatic classification. Data extraction. Intelligent renaming. Secure archiving. Version history.
Gouvernance native : All actions are tracked to ensure total compliance.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-bytebot@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 intelligent archiving?

1. Semantic search

Search by content or concept, not just file name.

2. Enhanced compliance

Automate your data retention and deletion policies.

3. Massive time savings

Eliminate time-consuming manual filing tasks.

4. Cost optimization

Reduce unnecessary storage with smart management.

5. Seamless integration

Compatible with your current storage tools via Bytebot.

Security and compliance

Swiftask applique des standards de sécurité enterprise pour vos automatisations bytebot.

Data encryption: Your documents are protected during transit and at rest.
Granular access control: Control who can view or modify your archives.
Full audit trail: Every archiving action is logged for your audits.
GDPR compliance: Integrated tools to meet your data protection obligations.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable performance gains

Métrique	Avant	Après
Search time	Several minutes	A few seconds
Filing errors	High	Near zero
Team productivity	Low	30% increase

Passez à l'action avec bytebot

Eliminate disorganized folders and reduce document retrieval time.

Générez vos rapports Bytebot automatiquement avec Swiftask

Cas d'usage suivant.