1. Where AI Is Used
- Dashboard generation (charts, KPIs, insights, and layout suggestions)
- Analysis Chat (questions & answers based on the uploaded dataset)
- Formula + Code Helper (suggested formulas, queries, and snippets)
2. AI Limitations
AI systems can make mistakes. Outputs may be inaccurate, incomplete, or based on wrong assumptions (especially if columns are mislabeled, missing, or contain mixed formats).
- AI may misinterpret data types (dates, currencies, percentages, IDs)
- AI may generate misleading insights if the dataset is biased or incomplete
- AI may produce charts that look correct but represent the wrong metric
3. Not Professional Advice
AI outputs are provided for informational and productivity purposes only and should not be considered legal, medical, financial, accounting, or investment advice. You should consult qualified professionals for decisions that require expert judgment.
4. Your Responsibilities
- Review and validate AI outputs before using them in reports or decisions
- Ensure you have the rights to upload and analyze the data you provide
- Avoid uploading sensitive personal data unless necessary (e.g., passwords, government IDs)
5. Data Handling for AI
When you use AI features, relevant parts of your dataset may be processed to generate responses. Your data is not used to train AI models.
We recommend removing or anonymizing sensitive fields where possible.
6. Human Review
DataGrid Studio does not guarantee that AI outputs are reviewed by a human. If you need assistance verifying results, contact support and we can help you troubleshoot.
7. Contact
Questions about AI behavior or concerns about outputs?
[email protected]