Structured archiving of Corrently data with AI
Swiftask transforms your Corrently energy data flows into structured, actionable, and compliant archives, without any manual intervention.
Result:
Ensure data integrity while freeing your teams from tedious sorting and filing tasks.
AI Agents
corrently
Connector corrently · Secure OAuth 2.0
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.
Main negative impacts:
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.
BEFORE / AFTER
What changes with 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
1
STEP 1 : Agent initialization
Configure a Swiftask agent dedicated to monitoring your Corrently account via our native connectors.
2
STEP 2 : Data schema definition
Determine the output formats and the desired filing structure for your energy archives.
3
STEP 3 : Flow automation
Activate trigger rules so that archiving is carried out in real-time or according to a precise schedule.
4
STEP 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.
- Target connector: The agent performs the right actions in corrently based on event context.
- Automated actions: 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.
- Native governance: Swiftask maintains a complete history of all archiving operations for your compliance reports.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-corrently@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.
Strategic advantages of AI archiving
Data reliability
Eliminate human errors during the transfer and filing of your energy data.
Simplified audit
Instantly access any historical data thanks to a rigorous archiving structure.
Massive time savings
Reduce administrative management time by 90% by automating your data lifecycle.
Scalability
Whether you manage 10 or 10,000 measurement points, the agent processes volumes identically without extra effort.
Interoperability
Your Corrently data becomes compatible with your BI analysis tools thanks to consistent structuring.
Data security and governance
Swiftask applies enterprise-grade security standards for your corrently automations.
- 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.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your operations
| Metric | Before | After |
|---|---|---|
| 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 |
Take action with corrently
Ensure data integrity while freeing your teams from tedious sorting and filing tasks.