OpenAI Integration

AI features in TeamDesk enable users to design, configure, and work with databases using natural language instead of manual setup. These capabilities are powered by integration with OpenAI and are available across multiple areas of the system.

Users can generate database structure by describing their requirements in plain language. The system interprets the input and automatically creates tables, columns, and relationships, reducing the need for manual configuration and accelerating initial setup.

Column creation is supported by AI suggestions across different types. Users can generate columns for new tables, as well as lookup and summary columns for existing relationships. Suggested columns are tailored to the selected table or relation and exclude duplicates, allowing bulk creation with minimal effort.

AI allows customizing forms in natural language. The Form Designer listens to your instructions and applies changes instantly. There’s no need to dig through setup menus.

AI assists in creating views and reports by analyzing existing data structures and proposing relevant configurations. Users can generate new views based on natural language descriptions or accept suggested views that complement existing ones without duplication.

To suggest new views, we pass the names of the views in the current table. But in no way users’ personal information or data from the database is transferred to OpenAI.

Formula creation and management is simplified through natural language input. Users can describe the desired logic, and the system generates ready-to-use formulas. AI can also refine existing formulas or help resolve errors by interpreting user explanations and providing corrected versions.

AI-Powered Data Analysis in TeamDesk allows users to analyze database data using natural language queries. Users can ask questions, generate insights, and view results without creating reports or formulas manually. The system processes input and returns structured outputs such as summaries, metrics, and charts.

Across all features, AI operates using minimal contextual metadata such as table names, column names, and structure. No actual user data is transferred, ensuring that database content remains private.

These AI capabilities reduce the need for technical expertise, speed up database setup and customization, and support ongoing system evolution through guided suggestions and automation.