Tarification

Structured archiving of Corrently data with AI

Swiftask transforms your Corrently energy data flows into structured, actionable, and compliant archives, without any manual intervention.

Resultat:

Ensure data integrity while freeing your teams from tedious sorting and filing tasks.

Manual Corrently data management drains your resources

Energy data generated by Corrently is voluminous and complex. Without automation, archiving becomes a tedious task, prone to entry errors and loss of critical information for your audits.

Les principaux impacts négatifs :

Compliance risks: Disorganized archiving complicates energy audits and can lead to penalties related to non-compliance with retention obligations.
Loss of business value: Unstructured data is dormant data. You lose the ability to analyze your long-term consumption trends.
Operational overload: Your teams spend too much time manually cleaning, renaming, and filing files instead of analyzing performance indicators.

Swiftask deploys AI agents that intercept your Corrently flows to structure, validate, and automatically archive them in your target storage systems.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional management

Manual export of Corrently data at the end of each month. Complex file renaming, storage in messy shared folders, and extreme difficulty in extracting historical reports.

Swiftask automation

As soon as data is available in Corrently, the AI agent captures it, normalizes it, adds contextual metadata, and archives it in a database structure or secure cloud.

Deploy your archiving strategy in 4 steps

ÉTAPE 1 : Agent initialization

Configure a Swiftask agent dedicated to monitoring your Corrently account via our native connectors.

ÉTAPE 2 : Data schema definition

Determine the output formats and the desired filing structure for your energy archives.

ÉTAPE 3 : Flow automation

Activate trigger rules so that archiving is carried out in real-time or according to a precise schedule.

ÉTAPE 4 : Integrity control

Monitor archiving logs in Swiftask to ensure that each piece of data is correctly indexed and stored.

Intelligent archiving capabilities

The agent analyzes Corrently data content: timestamp, consumption type, tariff, and location. It enriches each archive with business metadata.

Connecteur cible : L'agent exécute les bonnes actions dans corrently selon le contexte de l'événement.
Actions automatisées : Automatic file format normalization. Dynamic folder creation by date or client. Direct integration to SQL, CSV, or cloud services. Notification in case of transfer failure.
Gouvernance native : Swiftask maintains a complete history of all archiving operations for your compliance reports.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-corrently@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.

Strategic advantages of AI archiving

1. Data reliability

Eliminate human errors during the transfer and filing of your energy data.

2. Simplified audit

Instantly access any historical data thanks to a rigorous archiving structure.

3. Massive time savings

Reduce administrative management time by 90% by automating your data lifecycle.

4. Scalability

Whether you manage 10 or 10,000 measurement points, the agent processes volumes identically without extra effort.

5. Interoperability

Your Corrently data becomes compatible with your BI analysis tools thanks to consistent structuring.

Data security and governance

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

Data encryption: All data moving from Corrently to your storage is encrypted end-to-end.
Access management: Precisely control who can view archiving agent logs via RBAC.
GDPR compliance: Archiving processes comply with data protection standards.
Flow isolation: Each client has a dedicated execution environment to prevent any data leakage.

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

RÉSULTATS

Impact on your operations

Métrique	Avant	Après
Monthly processing time	8 to 12 hours	0 hours (automated)
Filing error rate	15% (human)	0% (AI)
Data availability	Manual search delays	Instant indexed access
Storage cost	Inefficient redundancy	Structured optimization

Passez à l'action avec corrently

Ensure data integrity while freeing your teams from tedious sorting and filing tasks.

Détectez les anomalies de consommation énergétique via Corrently

Cas d'usage suivant.