PostgreSQL AI employee

A Superkind AI employee that queries PostgreSQL data, creates analyses, checks tables, and corrects approved records. Message it in Teams or Outlook, it works in PostgreSQL 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 PostgreSQL AI employee?

A PostgreSQL AI employee is an AI that connects to your PostgreSQL account and completes work in it. It does not just answer questions about the database, it takes the actions: querying tables, creating analyses, checking records, and entering approved corrections. 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 PostgreSQL actions, chains them with your other systems, and asks for your approval before sensitive changes run.

About PostgreSQL

PostgreSQL is a free object relational database system for structured data, complex queries, transactions, and extensions.

  1. You ask in Teams

    Describe the data or analysis you need in plain English.

  2. Superkind picks the actions

    Selects the right PostgreSQL actions and chains them together.

  3. PostgreSQL

    Superkind works in PostgreSQL

    Queries tables, checks records, and creates analyses with your real data.

  4. Superkind reports back

    Delivers the finished result to Teams or Outlook.

Try asking

What can you ask Superkind to do in PostgreSQL?

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

Query open orders in PostgreSQL and give me customer number, amount, and due date as a table.

you, to @Superkind

Create an analysis of PostgreSQL revenue for the last twelve months by region and product group.

you, to @Superkind

After my approval, correct the wrong billing address for customer 1842 in the customers table.

you, to @Superkind

Let me know here as soon as daily revenue in PostgreSQL differs from the monthly average by 20 percent.

you, to @Superkind
How it works

How does Superkind work with PostgreSQL?

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

    1Connect your systems

    We connect PostgreSQL through a dedicated account with minimal permissions. We also connect Teams so your team can assign tasks directly in chat. Superkind tests the connection and is ready to start.

  2. Lena Hoffmann9:12 AM

    @Superkind please check today’s revenue in PostgreSQL for outliers and prepare any necessary corrections.

    @SuperkindApp9:13 AM

    On it. I am checking the revenue data in PostgreSQL and preparing the corrections for approval.

    2Tell Superkind what you need

    Message your AI employee in Teams like a colleague. Ask it to query PostgreSQL data or create an analysis. Plain English is enough, Superkind picks the right actions.

  3. @SuperkindApp9:14 AM
    • Query on orders completed
    • 12 outliers found in revenue
    • Audit report created in audit_log
    PostgreSQL
    audit_log report12 outliers · checked today
    Waiting for your approvalApply corrections to production?

    3Superkind operates, you approve

    Superkind runs the query in PostgreSQL and reports the result in Teams. Changes to production records wait for your approval. Every step is logged.

Actions

What can Superkind do in PostgreSQL?

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

  • Data

    Query rows

    Reads selected rows and columns from a PostgreSQL table.

  • DataNeeds approval

    Insert record

    Adds a new record with validated values to a PostgreSQL table.

  • DataNeeds approval

    Update record

    Changes specific columns of an existing record using its primary key.

  • DataNeeds approval

    Delete record

    Deletes a selected record from a PostgreSQL table.

  • Data

    Export data

    Exports a query result as a CSV file for Teams or Outlook.

  • Schemas and tables

    List schemas

    Lists available PostgreSQL schemas with owners and access privileges.

  • Schemas and tables

    Describe tables

    Shows the columns, data types, default values, and constraints of a table.

  • Schemas and tables

    List views

    Lists views and materialized views in a PostgreSQL schema.

  • Schemas and tablesNeeds approval

    Create index

    Creates a PostgreSQL index for selected table columns.

  • Queries

    Run SQL query

    Runs an approved SELECT query and returns the result rows.

  • Queries

    Explain query plan

    Reads an EXPLAIN plan and identifies expensive scans, joins, and sorts.

  • Queries

    Calculate metrics

    Calculates sums, averages, and groups from PostgreSQL data.

  • Queries

    Join tables

    Joins PostgreSQL tables through matching keys for a combined analysis.

  • Queries

    Detect outliers

    Finds unusual values and deviations in a PostgreSQL query result.

  • Monitoring

    Check active sessions

    Shows active PostgreSQL sessions from pg_stat_activity with duration and state.

  • Monitoring

    Find long queries

    Finds long running PostgreSQL queries and their process identifiers.

  • Monitoring

    Analyse locks

    Shows blocking and waiting transactions from pg_locks.

  • Monitoring

    Check database load

    Reads transactions, cache hits, and conflicts from pg_stat_database.

  • Monitoring

    Check replication

    Checks replication state, lag, and active replication slots.

  • Maintenance

    Analyse tables

    Uses ANALYZE to update statistics for selected PostgreSQL tables.

  • Maintenance

    Vacuum tables

    Runs VACUUM for selected PostgreSQL tables and reports the result.

  • MaintenanceNeeds approval

    Rebuild index

    Rebuilds a PostgreSQL index with REINDEX.

  • MaintenanceNeeds approval

    Start backup

    Starts a logical PostgreSQL backup and records its storage location.

  • Other

    List roles

    Shows PostgreSQL roles with memberships and attributes.

  • Other

    Check privileges

    Checks grants for a schema, table, or sequence.

  • Other

    List extensions

    Lists installed PostgreSQL extensions with version and schema.

Works with your stack

Superkind uses PostgreSQL together with your other systems

Ask for outcomes that span tools. The AI employee pulls data from PostgreSQL, cross-references your stack, and delivers one finished result.

Matching AI employees

Superkind AI employees that work with PostgreSQL

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

Companies working with Superkind

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FAQ

Frequently asked questions

Everything you need to know about your AI employee for PostgreSQL.

Yes. Superkind connects the AI employee to your PostgreSQL instance through a managed account. Your team can then ask it from Microsoft Teams or Outlook to query data, create analyses, and complete agreed tasks. You decide which databases, schemas, and tables it can reach. The AI employee only receives the permissions it genuinely needs for those tasks.

You provide a dedicated PostgreSQL user with minimal permissions and the required connection details. We configure the encrypted connector together, review the accessible schemas, and test a harmless query. The connection is then ready for the AI employee in Teams. We only add write permissions when the agreed use case genuinely requires them.

It can query tables and views, filter and join data, calculate metrics, return results as a table, and check database health. With suitable permissions, it can also correct approved records, create indexes, or start maintenance tasks. The list above shows common PostgreSQL actions. You define which of them are available for your use case.

No. With Zapier or Make, you build triggers and individual steps and maintain them when something changes. With the AI employee, you describe the desired outcome in plain English. Superkind picks the right PostgreSQL actions, connects them with Teams, Outlook, or other systems when needed, and asks if information is missing. There is no workflow builder for your team to operate.

Only with your approval. Queries, analyses, and health checks can run independently within the agreed permissions. Changes or deletions of production records wait for an explicit yes from a responsible person in Teams. PostgreSQL roles, schemas, and table privileges also restrict access technically. Your team decides which actions are sensitive and who may approve them.

Superkind is hosted in the EU and we sign a GDPR data processing agreement. The AI employee uses a dedicated PostgreSQL account with minimal permissions, limited to the required databases, schemas, and tables. Model requests do not train on your data. Queries, results, approvals, and changes are logged so every action remains traceable.

PostgreSQL itself is free open source software and has no paid per user tier. Managed PostgreSQL often costs in the low hundreds of euros per month, depending on provider, storage, and performance. 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.

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