• Pricing
Book a demo

Smartly manage your Google Cloud buckets with AI

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.

Manual Google Cloud bucket management is becoming unmanageable

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

What changes with Swiftask

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.

Deploy your bucket management AI agent in 4 phases

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).

STEP 2 : Connect your Google Cloud project

Authorize Swiftask via secure IAM to access target buckets with read/write permissions. No global access required.

STEP 3 : Define data workflows

Configure automated actions: archiving, renaming, moving, or deleting based on file metadata.

STEP 4 : Monitor optimizations

Track realized savings and performed actions in real-time on your Swiftask dashboard.

Bucket optimization capabilities

The agent analyzes last modification dates, file types, and associated tags to apply intelligent decisions.

  • Target connector: The agent performs the right actions in google cloud based on event context.
  • Automated actions: Automatic movement to cold storage. Deletion of obsolete temporary files. Renaming and structured object organization. Proactive alerts via Teams/Slack in case of anomalous behavior.
  • Native governance: Every action is logged in an immutable log for your compliance and internal audit needs.

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.

Why automate your storage with Swiftask

1. Drastic cost reduction

Automatically optimize data lifecycle to pay only for what is necessary.

2. Automated compliance

Apply your data retention policies flawlessly and without human intervention.

3. Centralized visibility

Get an overview of your buckets' health and the savings generated.

4. Operational agility

Free your technical teams from repetitive storage maintenance tasks.

5. Enhanced security

Limit data exposure by automating cleanup as soon as data becomes unnecessary.

Cloud security and governance

Swiftask applies enterprise-grade security standards for your google cloud automations.

  • Secure authentication: Uses GCP Service Accounts with the principle of least privilege.
  • Full traceability: Every action performed on your buckets is logged and viewable in Swiftask.
  • Granular control: You retain full control over automation rules and can suspend them instantly.
  • Standards compliance: Compliant with Google Cloud best practices for resource management.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measurable impact on your infrastructure

MetricBeforeAfter
Storage costsHigh (cold data in standard tier)Optimized (automatic tiering)
Administration timeSeveral hours / week0 (autonomous management)
Data neglect riskModerateNone (systematic cleanup)
Compliance achievementManual audit requiredContinuous real-time audit

Take action with google cloud

Reduce your cloud storage costs and ensure data compliance automatically.

Generate automated Google Cloud performance reports

Next use case