Databox AI employee
A Superkind AI employee that retrieves metrics, creates analyses, explains variances, and monitors goals in Databox. Message it in Teams or Outlook, it works in Databox 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 Databox AI employee?
A Databox AI employee is an AI that connects to your Databox account and completes work in it. It retrieves metrics, checks dashboards, creates analyses, and monitors goals. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow tools such as Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right Databox actions, chains them with your other systems, and asks for your approval before sensitive actions run.
Databox is an analytics platform for metrics, dashboards, reports, goals, forecasts, and data from connected business systems.
You ask in Teams
Describe which metrics or analysis you need in plain English.
Superkind picks the actions
Selects the right Databox actions and connects them with your systems.
Superkind works in Databox
Retrieves metrics, checks goals, and creates analyses with your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Databox?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Show me the key metrics from last week in Databox and compare them with the previous week.”
you, to @Superkind“Put the Databox metrics for revenue, leads, and close rate into a clear table with weekly comparisons.”
you, to @Superkind“Explain why the conversion rate in our Databox dashboard has been well below the monthly goal since Monday.”
you, to @Superkind“Let me know here as soon as weekly revenue in Databox drops by more than ten percent.”
you, to @SuperkindHow does Superkind work with Databox?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Databox connects securely to Superkind. Teams, Outlook, and the systems supplying your metrics connect as well. Superkind checks the Databox data sources and handles sign-in. Your team can then get started right away.
@Superkind please compare weekly revenue in Databox with the previous week and explain the largest variance.
On it. I am checking weekly revenue and the related Databox metrics.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask for Databox metrics, a table, or an explanation of a variance. Superkind understands the context and asks when details are missing. You do not need to build a workflow.
- Weekly revenue down 8 percent
- Conversion rate below goal
- Google Ads largest variance
Weekly report createdWaiting for your approvalSend weekly report now?3Superkind operates, you approve
Superkind works in Databox and returns the result in Teams. It reads metrics, checks goals, and creates the requested analysis. Changes to reports, goals, or data sources wait for your approval. Every step is logged.
What can Superkind do in Databox?
Ask in plain English from Teams or Outlook. Superkind picks the right Databox actions, completes the work, and reports back. No workflows to build.
Get metric values
Retrieves values for a Databox metric over a selected period.
Compare periods
Compares metric values with the previous week, month, or year.
Explain metric trends
Explains notable changes in a metric using connected data sources.
Break down metrics
Breaks down a metric by Databox dimensions such as channel, campaign, or region.
Get forecast
Retrieves the Databox forecast for a selected metric and period.
List dashboards
Lists available Databox dashboards with title and last update.
Summarise dashboard
Summarises the metrics and changes on a Databox dashboard in clear sentences.
Check Datablock
Checks the value, comparison period, and dimensions of a Datablock.
Share dashboard
Creates or sends a sharing link for a Databox dashboard.
Export dashboard
Exports a Databox dashboard as a snapshot for a meeting.
List reports
Lists Databox reports with period, recipients, and delivery schedule.
Summarise report
Summarises the key metrics, trends, and notes from a report.
Deliver report table
Formats metrics from a Databox report as a clear table.
Schedule report
Sets the period, frequency, and recipients for a Databox report.
Send report
Sends a finished Databox report to the approved recipients.
List goals
Lists Databox goals with target, current value, and deadline.
Check goal status
Checks whether a Databox goal is on track or needs attention.
Explain goal variance
Explains the gap between the current value and a Databox goal using its metrics.
Create goal
Creates a Databox goal with metric, target, period, and owner.
Change goal target
Changes the target or deadline of an existing Databox goal.
List data sources
Lists connected Databox data sources with status and last sync.
Check sync status
Checks the sync status of a Databox data source and shows detected errors.
Query dataset
Filters records in a Databox dataset by period and dimensions.
Add dataset records
Writes approved raw data to a Databox dataset.
Delete dataset records
Deletes selected records from a Databox dataset.
List alerts
Lists active Databox alerts with thresholds and affected metrics.
Get annotations
Retrieves Databox annotations for a metric and period.
Summarise scorecard
Summarises the metrics and changes in a Databox scorecard for Teams.
Superkind uses Databox together with your other systems
Ask for outcomes that span tools. The AI employee pulls metrics from Databox, cross-references your stack, and delivers one finished result.
Superkind AI employees that work with Databox
Every role brings its expertise and uses Databox as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Databox.
Yes. Superkind connects Databox through a managed connector. Once connected, your team can ask the AI employee from Teams or Outlook to work with metrics, dashboards, reports, goals, and data sources. You need neither custom code nor a workflow builder. Access remains limited to the agreed tasks and data.
An admin enables the Databox connection and confirms the required permissions. Superkind then checks the available data sources, metrics, and workspaces. We configure the connection with you and test a real use case. After that, you can message the AI employee directly in Teams or Outlook and request results from Databox.
The AI employee can retrieve and compare metrics, summarise dashboards and scorecards, deliver reports as tables, explain goal variances, and check data source status. It can also create or change approved reports, goals, or dataset records. We define which Databox actions your team actually needs together when setting up the use case.
No. With Zapier or Make, you define and maintain triggers, conditions, and individual steps. With the AI employee, you describe the result you need in plain English. Superkind picks the right Databox actions itself, connects them with Teams, Outlook, HubSpot, or Excel when needed, and asks when important details are missing.
Only with your approval. The AI employee can independently read metrics, summarise dashboards, and explain variances. Before Superkind sends a Databox report, creates a sharing link, changes a goal, or writes production records to a dataset, it waits for a clear yes from a responsible person in Teams. Your team decides which actions are sensitive.
Superkind is hosted in the EU and we sign a GDPR data processing agreement. The AI employee receives only the minimum Databox permissions needed for the agreed use case. Model requests are not used for training. Access and actions are logged so your team can trace which metrics were read and which changes ran after approval.
Databox offers free and paid plans. Depending on data sources and features, paid team plans typically sit in the low three digit euro range per month. Zapier starts at about 20 euros 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.