What Data Does an AI Chat Feature Actually Need From Your File?
Asking an AI questions about your data doesn't require sending it your whole file. Here's what a privacy-conscious AI chat feature actually transmits.
The assumption worth questioning
When a tool says "chat with your data using AI," it's reasonable to assume your entire file gets sent to a language model somewhere. For a lot of products, that assumption is correct — and for a spreadsheet full of customer records or financial data, that's a real exposure most people never think to check.
What actually needs to be sent
A language model doesn't need your full dataset to answer a question like "what's the average order value by region." It needs three things:
- The schema — column names and inferred types (this column is a date, this one is a number, this one is a category).
- A small sample — a handful of representative rows (capped, for example, at 20) so the model understands the shape and format of the data.
- Aggregate statistics — counts, sums, averages, computed locally before anything is sent.
With those three things, a model can write the right logic to answer the question, or explain what a computed result means — without ever seeing row 4,832 with someone's home address in it.
What this looks like in practice
Askerium's AI chat sends exactly this: schema, a capped sample, and aggregate statistics — computed and capped in your browser before the request leaves your device. The full dataset, and the original file, never reach the AI provider.
A question worth asking any AI data tool
Before uploading a real dataset to any "chat with your data" feature: open the browser's Network tab and check what's actually leaving your device in the request payload. If you see your full row count's worth of data going out for a single question, the tool is sending more than it needs to.
Try the AI chat with your own data, knowing exactly what it does and doesn't see.