Kibana AI employee
A Superkind AI employee that checks deployments and alerts, explains root causes, creates cases, and summarises dashboards in Kibana. Message it in Teams or Outlook, it does the work in Kibana and reports back with the result. Anything sensitive waits for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Kibana AI employee?
A Kibana AI employee connects to your Kibana account and completes work in it. It does not just answer questions, it checks alerts, reads dashboards, analyses logs, and creates cases. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no zaps, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right Kibana actions, chains them with your other systems, and asks for your approval before sensitive steps run.
Kibana is the Elastic interface for searching, analysing, and visualising data as well as running observability and security work.
You ask in Teams
Describe what you need to know about your systems in plain English.
Superkind picks the actions
Selects the right Kibana actions and chains them together.
Superkind works in Kibana
Checks alerts, reads dashboards, and creates cases with your real data.
Superkind reports back
Delivers the cause, status, and next steps to Teams or Outlook.
What can you ask Superkind to do in Kibana?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check the latest deployment in Kibana and tell me whether any new alerts appeared afterwards.”
you, to @Superkind“Use the Kibana logs to explain why checkout had so many errors this morning.”
you, to @Superkind“Create a case from the critical Kibana alert and open a related ticket in Jira.”
you, to @Superkind“Let me know here as soon as Kibana shows a new critical incident, including cause and affected services.”
you, to @SuperkindHow does Superkind work with Kibana?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect Kibana securely to Superkind. Add Teams and the other systems your team uses. Superkind handles the sign in. The agreed Kibana areas are then ready.
@Superkind please check the checkout error alert in Kibana and create a case with the root cause.
On it. I am checking the Kibana alert, analysing the logs, and creating the case.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. It understands your request and selects the right Kibana actions. You do not need to build queries or workflows.
- Alert checkout-errors triggered
- 3 payment service errors
- Kibana case 184 created
Kibana case 184Waiting for your approvalCreate the Jira ticket now?3Superkind operates, you approve
Superkind checks data in Kibana and writes the result back in Teams. Changes to rules, dashboards, or access wait for your approval. Every step is logged.
What can Superkind do in Kibana?
Ask in plain English from Teams or Outlook. Superkind picks the right Kibana actions, runs the work, and reports back. No workflows to build.
Search dashboards
Finds Kibana dashboards by title, description, or tag.
Summarise dashboard
Summarises panels, filters, and unusual metrics from a Kibana dashboard.
Inspect visualisation
Reads a Lens visualisation with its dimensions, filters, and data source.
Update dashboard
Changes panels, filters, or metadata in a saved Kibana dashboard.
List alerts
Lists active Kibana alerts with status, severity, rule, and time.
Explain alert
Connects a Kibana alert with logs and names the most likely cause.
Check rule status
Shows the execution status, errors, and last check of a Kibana rule.
Create rule
Creates a Kibana rule with a query, schedule, and actions.
Disable rule
Disables a Kibana rule and stops its future checks.
Create case
Creates a Kibana case with title, description, tags, and severity.
Search cases
Finds Kibana cases by status, tag, reporter, or search text.
Comment on case
Adds analysis, context, or next steps to a Kibana case.
Attach alerts
Attaches relevant alerts to an existing Kibana case.
Check case status
Shows the status, severity, owner, and latest activity of a Kibana case.
List data views
Lists Kibana data views with title, index pattern, and time field.
Get fields
Reads fields, types, and metadata from a Kibana data view.
Search saved objects
Finds Kibana saved objects by type, text, tag, or space.
Export object
Exports selected Kibana saved objects together with their dependencies.
Delete object
Deletes a Kibana saved object while accounting for existing references.
List spaces
Shows Kibana spaces with identifier, name, and description.
Create space
Creates a Kibana space for a separated work area.
List connectors
Lists Kibana connectors with type, name, and availability.
Run connector
Runs a Kibana connector with the approved action parameters.
List tags
Lists Kibana tags and their saved object assignments.
Check log thresholds
Checks Kibana log data for time ranges, services, and unusual clusters.
Create incident report
Creates a structured incident report from Kibana alerts, cases, and logs.
Superkind AI employees that work with Kibana
Every role brings its expertise and uses Kibana as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Kibana.
Yes. Superkind connects Kibana through a managed connector. Once connected, your team can put the AI employee to work in Kibana from Teams or Outlook. It can read dashboards, check alerts, handle cases, and run documented API actions. Access stays limited to the tasks and areas you define together.
An admin provides the URL of your Kibana instance and configures the appropriate authentication. Spaces, roles, and permissions are then limited to the agreed scope. Superkind checks the connection with you and tests the planned actions. Your team can then assign Kibana tasks to the AI employee directly from Teams or Outlook.
The AI employee can summarise dashboards and Lens visualisations, check alerts and rules, find data views and saved objects, and create or update cases. It can also connect Kibana findings with Jira, GitHub, or Linear. Available actions depend on your Kibana version, enabled solutions, and configured permissions.
No. With Zapier or Make, you build and maintain triggers, filters, and individual steps. With the AI employee, you describe the desired result in plain English. Superkind selects the right Kibana actions, combines them with Teams, Outlook, or Jira when needed, and asks when important details are missing. Your team never has to use a workflow builder.
Only with your approval. Superkind can read alerts, summarise causes, and prepare cases without changing production settings. Creating or disabling a Kibana rule, changing a dashboard, or running a connector waits for confirmation from a responsible person in Teams. Your team decides which other Kibana actions count as sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum Kibana permissions it needs, such as access to selected spaces. Your data is not used for training. Access, queries, and completed actions are logged so you can review every step and adjust permissions at any time.
Kibana is free in the Basic tier. Paid Elastic Cloud options such as Platinum and Enterprise use resource based or usage based pricing and can reach the low hundreds of euros per month or more depending on the environment. 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.