Looker AI employee
A Superkind AI employee that retrieves metrics, runs Looks, checks dashboards, and explains variances inside Looker. Message it in Teams or Outlook, it works in Looker 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 Looker AI employee?
A Looker AI employee connects to your Looker account and completes work there. It runs Looks and queries, reads dashboards, creates reports, and checks metrics. Superkind builds it with your company knowledge so terms, targets, and responsibilities match your business.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, Superkind picks the right Looker actions, chains them with your other systems, and asks for your approval before sensitive steps.
Looker is a business intelligence platform for data models, analysis, Looks, dashboards, and scheduled reports.
You ask in Teams
Describe the metric or report you need in plain English.
Superkind picks the actions
Selects the right Looker actions and connects them with your systems.
Superkind works in Looker
Runs queries and Looks, checks dashboards, and prepares the results.
Superkind reports back
Delivers the finished report to Teams or Outlook.
What can you ask Superkind to do in Looker?
Just say which report you need, and Superkind takes it from there.
“Pull the main sales metrics for last week from Looker and compare them with the previous week.”
you, to @Superkind“Deliver the Looker campaign report as a table with channel, spend, leads, and conversion rate.”
you, to @Superkind“Explain the largest variances in the revenue dashboard and name the affected regions and product groups.”
you, to @Superkind“Let me know here as soon as daily revenue in Looker drops by more than ten percent.”
you, to @SuperkindHow does Superkind work with Looker?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
An admin connects Looker with the required permissions. Teams becomes the place for questions and results. Superkind checks the connection and can then access the agreed Looker content.
@Superkind compare weekly revenue by region in Looker and explain variances above ten percent.
On it. I am creating the revenue query in Looker and preparing the variances.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Name the metrics, filters, or output format. Superkind translates your request into the right Looker actions and asks if anything is missing.
- Weekly revenue query created
- 12 metrics refreshed
- 3 variances explained
Weekly Revenue QueryWaiting for your approvalShare dashboard with all teams?3Superkind operates, you approve
Superkind runs the query or Look in Looker and prepares the result. In Teams you see metrics, variances, and created content. Changes to dashboards, scheduled plans, or access rights wait for your approval.
What can Superkind do in Looker?
Ask in plain English from Teams or Outlook. Superkind picks the right Looker actions, completes the work, and reports back. No workflows to build.
Search Looks
Finds Looks by title, folder, model, or owner.
Run Look
Runs a Look with its saved filters and returns the results.
Download Look
Exports Look results as CSV, XLSX, JSON, or PDF.
Create Look
Creates a saved Look from a query in a selected folder.
Delete Look
Deletes a saved Look from its folder.
Search dashboards
Finds dashboards by title, folder, owner, or content.
Get dashboard
Reads dashboard filters, tiles, layout, and metadata.
Run dashboard
Runs the queries behind dashboard tiles with the selected filters.
Update dashboard
Changes the title, description, filters, or layout of a dashboard.
Check dashboard tiles
Checks dashboard tiles for errors, runtimes, and incomplete results.
Create query
Creates a temporary query from a model, Explore, fields, filters, and sorts.
Run query
Runs a query and returns rows, totals, and metadata.
Explain query
Explains the fields, filters, sorts, and calculations in a Looker query.
Get SQL
Retrieves the SQL generated by Looker for a query.
Analyse variances
Compares query results across periods, segments, or regions and identifies anomalies.
List scheduled plans
Lists scheduled plans with recipients, format, frequency, and status.
Create scheduled plan
Creates a scheduled plan for a Look or dashboard.
Run scheduled plan
Runs an existing scheduled plan immediately with its saved destinations.
Delete scheduled plan
Deletes a scheduled plan and stops its future deliveries.
Search users
Finds Looker users by name, email address, role, or group.
Check roles
Shows a Looker user’s roles, permission sets, and model access.
Invite user
Creates a Looker user and assigns groups or roles.
Browse folders
Lists Looks, dashboards, and subfolders inside a Looker folder.
Validate content
Runs the Content Validator and reports broken Looks and dashboards.
List models
Lists available LookML models, Explores, and related projects.
Check project status
Shows Git status, active workspace, and open changes for a LookML project.
Superkind uses Looker together with your other systems
Ask for outcomes that span tools. The AI employee combines Looker metrics with spreadsheets, CRM data, and messages and delivers one finished report.
Superkind AI employees that work with Looker
Every role brings its expertise and uses Looker as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Looker.
Yes. Superkind connects Looker through a managed connector. Once connected, your team can ask the AI employee from Teams or Outlook to retrieve metrics, run Looks, and check dashboards. There is no workflow builder and no code to maintain. Access stays limited to the agreed Looker content and tasks.
A Looker admin provides the appropriate API connection and grants the required roles and model access. We configure the connector with you, check the available Looks, dashboards, and Explores, and test a typical request from Teams. Looker is then ready for the AI employee to handle the agreed tasks.
It can search and run Looks and dashboards, create queries with fields and filters, deliver results as a table, explain variances, and check scheduled plans. It can also read folders, roles, models, and Content Validator results. Together we define which Looker actions your team actually needs.
No. With Zapier or Make, you build triggers and steps and maintain them when something changes. With the AI employee, you describe the outcome in plain English. Superkind picks the right Looker actions, connects data with Teams, Outlook, HubSpot, or Excel, and asks when the filters, period, or destination are unclear.
Only with your approval. Reading Looks, running queries, and explaining variances can happen independently. Changes to dashboards, saved Looks, scheduled plans, roles, or users wait for a responsible person to approve them in Teams. Your team decides which Looker 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 required Looker permissions and model access. Your data is not used for training. Queries, results, approvals, and completed actions are logged so your team can trace access.
Looker offers paid editions whose prices are agreed individually based on scope and contract and often sit in the low hundreds of euros per user each month. Zapier starts at about 20 euros per month and Make at about 10 euros, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.