Google Cloud AI employee
A Superkind AI employee that checks deployments, analyses logs, explains incidents, and manages resources in Google Cloud. Message it in Teams or Outlook, it does the work in Google Cloud and reports back with the result. Sensitive actions wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Google Cloud AI employee?
A Google Cloud AI employee is an AI that connects to your Google Cloud account and completes work in it. It does not just answer questions, it checks deployments, reads logs, investigates alerts, and manages resources. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right Google Cloud actions, chains them with your other systems, and asks for your approval before sensitive steps.
Google cloud platform for compute, containers, storage, data, networking, monitoring, and managed services.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right Google Cloud actions and chains them together.
Superkind works in Google Cloud
Checks deployments, reads logs, and manages resources. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Google Cloud?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check the latest failed Cloud Run deployment and summarise the alert with its likely cause.”
you, to @Superkind“Use the Cloud Logging entries to explain why the checkout service started returning errors today.”
you, to @Superkind“Create a Jira ticket for this error with the logs, project, and responsible team.”
you, to @Superkind“Let me know here as soon as a new critical incident appears, with its service, project, and likely cause.”
you, to @SuperkindHow does Superkind work with Google Cloud?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect Google Cloud with the required roles and permissions. Add Teams and the systems your team already uses. Superkind handles the secure connection and gets to work.
@Superkind please check why the latest Cloud Run revision in the webshop project is failing and create a support case.
On it. I am checking the Cloud Run revision and creating the support case with the relevant logs.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Describe a Google Cloud deployment, alert, or log query in plain English. Superkind understands the outcome and picks the right actions.
- Cloud Run revision 42 failing
- Cause: DB_URL secret missing
- Support case #184 created
Support case #184Waiting for your approvalRoute traffic to revision 41?3Superkind operates, you approve
Superkind completes the work in Google Cloud and reports the result in Teams. Changes to production resources or access permissions wait for your approval. Every step is logged.
What can Superkind do in Google Cloud?
Ask in plain English from Teams or Outlook. Superkind picks the right Google Cloud actions, completes the work, and reports back. No workflows to build.
List projects
Lists Google Cloud projects with project ID, name, and lifecycle state.
Read IAM policy
Reads roles and members from the IAM policy of a project.
Create project
Creates a Google Cloud project under the selected organisation or folder.
Add IAM member
Binds a member with a specific IAM role to a project.
List instances
Lists Compute Engine instances with zone, machine type, and status.
Inspect instance
Reads the configuration, network interfaces, disks, and metadata of a Compute Engine instance.
Start instance
Starts a stopped Compute Engine instance in its zone.
Stop instance
Stops a running Compute Engine instance in its zone.
List snapshots
Lists Compute Engine snapshots with source disk, size, and status.
List clusters
Lists Google Kubernetes Engine clusters with location, version, and status.
Inspect workloads
Inspects Deployments, StatefulSets, and DaemonSets in a Kubernetes namespace.
Read pod logs
Reads container logs from a pod in the selected Kubernetes namespace.
Scale deployment
Changes the replica count of a Deployment in Google Kubernetes Engine.
Restart rollout
Restarts the rollout of a Deployment in Google Kubernetes Engine.
List buckets
Lists Cloud Storage buckets with location, storage class, and access setting.
Search objects
Finds Cloud Storage objects by bucket, prefix, and metadata.
Read object metadata
Reads the size, content type, generation, and checksums of a Cloud Storage object.
Inspect bucket policy
Checks the IAM policy and public access settings of a Cloud Storage bucket.
List alerts
Lists open Cloud Monitoring incidents with policy, resource, and severity.
Query logs
Searches Cloud Logging entries by project, resource type, and filter.
Analyse metrics
Reads Cloud Monitoring time series and summarises anomalies or trends.
Explain incident
Links a Cloud Monitoring incident to logs, metrics, and affected resources.
List APIs
Lists enabled services from the Service Usage API of a Google Cloud project.
Check billing
Reads the linked Cloud Billing account and billing status of a project.
Read secret metadata
Reads the name, labels, and replication of a Secret Manager secret, never its value.
Deploy Cloud Run
Creates a new Cloud Run revision from a container image and assigns traffic.
Superkind AI employees that work with Google Cloud
Every role brings its expertise and uses Google Cloud as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Google Cloud.
Yes. Superkind connects the AI employee to your projects through managed Google Cloud interfaces. Your team can then use it from Microsoft Teams or Outlook. It can read logs, check deployments, and analyse alerts, for example. Access stays limited to the agreed projects, services, and tasks.
An admin creates a service account or authorised connection in Google Cloud and grants the required IAM roles. Together, we select the projects, services, and permitted actions. We then test the connection with a read only task. Sensitive actions are enabled only afterwards and still wait for approval in Teams.
It can inspect Google Cloud projects and Compute Engine instances, search Cloud Logging, explain Cloud Monitoring incidents, check Cloud Storage buckets, and investigate workloads in Google Kubernetes Engine. It can also connect this data with Jira, GitHub, or Slack. We define the actions it handles in your daily work together during onboarding.
No. With Zapier or Make, you build triggers, steps, and error paths yourself. With the AI employee, you simply describe the outcome in Teams or Outlook. Superkind picks the right Google Cloud actions, connects them to other systems when needed, and asks when information is missing. There is no workflow for your team to maintain.
Only with your approval. Read only tasks such as querying logs, analysing metrics, or inspecting resources run independently within the agreed scope. A deployment, traffic change, new IAM permission, or stopping a production instance waits for a yes from a responsible person in Teams. Your team decides which actions are sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum IAM permissions needed for selected Google Cloud projects. Model requests are not used for training. Every access and action is logged so your team can always trace what was read or changed.
Google Cloud has no single per user price because services are billed by usage. Depending on resources, a production setup can start in the low hundreds of euros per month. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.