Swiftask connects your AI agents to Google Cloud Storage. Automate sorting, archiving, and cleaning your buckets without manual effort.
Result:
Reduce your cloud storage costs and ensure data compliance automatically.
AI Agents
google cloud
Connector google cloud · Secure OAuth 2.0
With exponential data growth, Google Cloud buckets quickly become disorganized storage zones. Between obsolete files, unnecessary costs, and compliance risks, IT teams lose valuable time.
Main negative impacts:
Storage cost explosion
Storing unused or redundant data unnecessarily inflates your monthly GCP bill.
Governance risks
Without an automated lifecycle policy, sensitive data can remain exposed longer than necessary.
Operational overhead
Manually auditing buckets and moving files are time-consuming tasks that distract your engineers from their priorities.
Swiftask deploys AI agents capable of continuously analyzing your Google Cloud buckets. They automatically apply management policies, archive old files, and alert you to anomalies.
BEFORE / AFTER
Traditional manual management
An administrator must periodically list files, identify old ones, move them to cheaper storage classes, or delete them. It's a reactive task, prone to human error, and impossible to maintain at scale.
Smart management with Swiftask
Your AI agent scans your buckets in the background. It detects files inactive for over 90 days and automatically moves them to Nearline or Coldline Storage, while generating a full audit report.
1
STEP 1 : Initialize the agent in Swiftask
Create an agent dedicated to overseeing your cloud resources. Define business rules (e.g., inactivity threshold, deletion policy).
2
STEP 2 : Connect your Google Cloud project
Authorize Swiftask via secure IAM to access target buckets with read/write permissions. No global access required.
3
STEP 3 : Define data workflows
Configure automated actions: archiving, renaming, moving, or deleting based on file metadata.
4
STEP 4 : Monitor optimizations
Track realized savings and performed actions in real-time on your Swiftask dashboard.
The agent analyzes last modification dates, file types, and associated tags to apply intelligent decisions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-google-cloud@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.
Automatically optimize data lifecycle to pay only for what is necessary.
Apply your data retention policies flawlessly and without human intervention.
Get an overview of your buckets' health and the savings generated.
Free your technical teams from repetitive storage maintenance tasks.
Limit data exposure by automating cleanup as soon as data becomes unnecessary.
Swiftask applies enterprise-grade security standards for your google cloud automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Storage costs | High (cold data in standard tier) | Optimized (automatic tiering) |
| Administration time | Several hours / week | 0 (autonomous management) |
| Data neglect risk | Moderate | None (systematic cleanup) |
| Compliance achievement | Manual audit required | Continuous real-time audit |
Reduce your cloud storage costs and ensure data compliance automatically.