Power BI AI employee

A Superkind AI employee that queries metrics, reviews reports, creates tables, and explains variances inside Power BI. Message it in Teams or Outlook, it does the work in Power BI 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 Power BI AI employee?

A Power BI AI employee is an AI that connects to your Power BI account and completes work in it. It does not just answer questions, it queries metrics, reads reports, checks refreshes, and delivers analyses. Superkind builds this AI employee with your company knowledge and teaches it your definitions, reporting logic, and responsibilities.

Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no scenarios, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right Power BI actions, chains them with your other systems, and asks for your approval before anything sensitive runs.

About Power BI

Microsoft Power BI is a platform for data analysis, semantic models, interactive reports, dashboards, and shared workspaces.

  1. You ask in Teams

    Describe the metric or analysis you need in plain English.

  2. Superkind picks the actions

    Selects the right Power BI actions and chains them with other systems.

  3. Power BI

    Superkind works in Power BI

    Queries semantic models, reads reports, and checks refreshes. Your real data.

  4. Superkind reports back

    Delivers the finished analysis to Teams or Outlook.

Try asking

What can you ask Superkind to do in Power BI?

Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.

Get the key metrics from last week in Power BI and compare them with the previous week.

you, to @Superkind

Deliver the latest sales performance from Power BI as a table by region, revenue, and target attainment.

you, to @Superkind

Explain the largest variances in the monthly report and name the affected products and regions.

you, to @Superkind

Let me know here as soon as any Power BI metric drops by more than ten percent.

you, to @Superkind
How it works

How does Superkind work with Power BI?

  1. Native integrations and connectors for 1,000+ tools

    1Connect your systems

    Power BI connects securely to Superkind. Add Teams and the systems where your data and tasks originate. You decide which workspaces and semantic models are available. Superkind can then work with Power BI directly from Teams.

  2. Lena Hoffmann9:12 AM

    @Superkind please check the sales report in Power BI, explain the weekly variances, and deliver a table by region.

    @SuperkindApp9:13 AM

    On it. I am checking the Power BI report and preparing the comparison by region.

    2Tell Superkind what you need

    Message your AI employee in Teams like a colleague. Ask for metrics, tables, or an explanation of variances in Power BI. Superkind understands the outcome and picks the right actions. You do not need to build a query or workflow.

  3. @SuperkindApp9:14 AM
    • Revenue report: 3 metrics below plan
    • South region: largest decline
    • Sales table created in Power BI
    Power BI
    Power BI sales table4 regions · 12 metrics
    Waiting for your approvalRefresh the dataset now?

    3Superkind operates, you approve

    Superkind queries Power BI, checks reports, and writes the result back in Teams. When useful, it combines the numbers with context from your other systems. Changes to access, data sources, or production content wait for your approval. Every step is logged.

Actions

What can Superkind do in Power BI?

Ask in plain English from Teams or Outlook. Superkind picks the right Power BI actions, completes the work, and reports back. No workflows to build.

  • Semantic models

    Query metrics

    Runs a DAX query against a semantic model and returns the requested metrics.

  • Semantic models

    List semantic models

    Lists semantic models in a Power BI workspace with owner and configuration.

  • Semantic models

    List tables

    Shows the tables in a semantic model for selecting the right business data.

  • Semantic models

    Read parameters

    Reads the parameters of a semantic model with name, type, and current value.

  • Semantic modelsNeeds approval

    Update parameters

    Changes semantic model parameters for the next refresh.

  • Reports

    List reports

    Lists Power BI reports in a workspace with name, web URL, and semantic model.

  • Reports

    Get report

    Gets metadata and embedding information for a specific Power BI report.

  • Reports

    List report pages

    Shows every page of a Power BI report with display name and order.

  • Reports

    Export report

    Exports a Power BI report in a supported file format for sharing.

  • ReportsNeeds approval

    Copy report

    Copies a Power BI report into a selected workspace.

  • ReportsNeeds approval

    Rebind report

    Connects a Power BI report to a different semantic model.

  • ReportsNeeds approval

    Delete report

    Deletes a Power BI report from the selected workspace.

  • Workspaces

    List workspaces

    Lists accessible Power BI workspaces with identifier, type, and status.

  • Workspaces

    Get workspace

    Gets details about a Power BI workspace and its contents.

  • Workspaces

    List users

    Shows users in a Power BI workspace with role and access level.

  • WorkspacesNeeds approval

    Add user

    Adds a person or group to a Power BI workspace with a role.

  • RefreshesNeeds approval

    Start refresh

    Starts a refresh for a semantic model in Power BI.

  • Refreshes

    Check refresh history

    Shows semantic model refresh history with status, start time, and error message.

  • Refreshes

    Read refresh schedule

    Reads the configured refresh schedule for a semantic model.

  • Refreshes

    Explain refresh error

    Interprets a failed Power BI refresh and explains the recorded cause.

  • Dashboards

    List dashboards

    Lists Power BI dashboards in a workspace with name and web URL.

  • Dashboards

    List tiles

    Shows tiles on a Power BI dashboard with title and subtitle.

  • Dashboards

    Get tile

    Gets the metadata of a specific Power BI dashboard tile.

  • Other

    List dataflows

    Lists Power BI dataflows in a workspace with name and model identifier.

  • Other

    List gateways

    Shows available Power BI gateways with status and associated data sources.

  • Other

    Review activities

    Reads the Power BI activity log for a period and summarises relevant events.

Works with your stack

Superkind uses Power BI together with your other systems

Ask for outcomes that span tools. The AI employee pulls metrics from Power BI, cross-references your stack, and delivers one finished analysis.

Matching AI employees

Superkind AI employees that work with Power BI

Every role brings its expertise and uses Power BI as one of its tools.

Companies working with Superkind

CG Group
CG Real Estate
Ecobuilding
Nivocare
Lindenstrom
Tylrus
Lorvan
Voelpker
Voelpker
Lorvan
FAQ

Frequently asked questions

Everything you need to know about your AI employee for Power BI.

Yes. Superkind connects Power BI through a managed connector. Once connected, your team can ask the AI employee from Teams or Outlook to query metrics, check reports, and monitor refreshes. Nobody needs to build a workflow. Access stays limited to the agreed Power BI workspaces and tasks.

An admin signs in with the appropriate Microsoft account and confirms the required Power BI permissions. Together, we select the workspaces, semantic models, and reports the AI employee may use. The connection is then available from Teams or Outlook. Superkind guides the setup and checks the first queries with your team.

It can query semantic models with DAX, compare metrics, list reports and report pages, check dashboards, read refresh histories, and explain errors. It can also prepare analyses as tables for Teams or Outlook. During onboarding, you decide which Power BI actions should run independently for your roles and data.

No. With Zapier or Make, you build triggers, steps, and field mappings, then maintain them when something changes. With the AI employee, you describe the outcome in plain English. Superkind picks the right Power BI actions, connects them with Excel, HubSpot, or other systems when needed, and asks questions if details are missing.

Only with your approval. Read only queries, comparisons, and summaries can run independently. Copying, rebinding, or deleting a report, changing model parameters, and granting new workspace access wait for an explicit yes in Teams. Your team decides which Power BI actions are sensitive and who is allowed to approve them.

Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum Power BI permissions required, such as access to selected workspaces and semantic models. Your data is not used for training. Queries, results, and approved changes are logged so every access remains traceable.

Power BI has publicly available paid tiers starting at roughly ten euros per user per month, while larger capacity options cost considerably more. Zapier starts at about 20 euros per month and Make at about 10 euros per month, both plus setup and maintenance time. Superkind is priced per use case, a fraction of a full-time hire.

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