Swiftask connects your AI agents to Google Cloud. Automatically manage the lifecycle of your instances and optimize resources in real time.
Result:
Cut cloud costs and free your IT teams from repetitive maintenance tasks.
AI Agents
google cloud
Connector google cloud · Secure OAuth 2.0
Cloud management is complex. Forgotten instances run needlessly, performance alerts are handled too late, and resource scaling is a tedious manual task that drains your technical team's energy.
Main negative impacts:
Significant budget waste
Underutilized or idle instances running outside production hours generate unnecessary costs, directly impacting your bottom line.
Limited operational reactivity
Manual intervention to restart or resize instances increases the Mean Time To Repair (MTTR) when incidents occur.
Increased risk of human error
Repetitive manual configuration of environments increases the risk of misconfigurations and security vulnerabilities.
Swiftask deploys AI agents capable of monitoring and acting on your Google Cloud instances. Set smart automation policies and let AI handle the infrastructure.
BEFORE / AFTER
Without Swiftask
Your engineers manually monitor GCP dashboards. During load spikes, they must log in, analyze, and resize each instance. Development instances often remain on over the weekend, inflating your bill.
With Swiftask + Google Cloud
Your AI agent analyzes metrics in real time. It resizes instances during spikes and automatically shuts down unused resources after business hours. Your engineers are only notified of critical anomalies.
1
STEP 1 : Connect your Google Cloud project
Integrate your Google Cloud access into Swiftask securely, using restricted IAM roles to ensure full security.
2
STEP 2 : Define automation rules
Set trigger conditions: CPU usage thresholds, specific schedules, or custom system alerts.
3
STEP 3 : Configure AI agent actions
Determine the actions the agent can take: stop, start, resize, or isolate problematic instances.
4
STEP 4 : Deployment and monitoring
Activate the agent. Track its decisions and actions directly in the Swiftask audit log.
The agent analyzes usage logs, performance metrics, and load patterns to make informed 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.
Drastically reduce expenses by automatically shutting down non-critical resources.
AI detects and fixes performance issues before they impact your end users.
Keep an exhaustive record of every change made to your instances.
Free your engineers from repetitive tasks so they can focus on innovation.
Configure complex automations without writing a single line of complex scripts.
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 |
|---|---|---|
| Cloud cost reduction | High variable costs | 20-40% optimization |
| Manual management time | Several hours per week | Less than 15 minutes (supervision) |
| Incident reactivity | Human reaction (minutes/hours) | Immediate reaction (seconds) |
| Configuration errors | Frequent during spikes | Near zero thanks to AI |
Cut cloud costs and free your IT teams from repetitive maintenance tasks.