In progress
We are building AI into the embedded product. Your customer asks a question in plain language inside your application and gets an answer resolved through the same semantic model, the same permissions and the same tenant scope the dashboard already uses.
Your customers ask in their own words and get an answer without leaving your application. The question resolves against the model you already maintain, not against a separate copy of your data built for the assistant.
The AI assistant in the SQL editor shipped in January 2026, aimed at whoever writes the query. The next step points the same assistant at your customer’s plain question. One definition of a metric, two ways to reach it, rather than a second set of numbers reachable only by asking.
An AI answer crosses a tenant boundary exactly the way a cached number does. The assistant's query goes through the same permission resolution as every other query. Rows outside the tenant filter are not returned, so they cannot reach the answer.
An answer resolves to a query you could have written yourself, against the sources Sumboard already reads. Sumboard keeps no copy of your data beyond cached results, so there is no second store for an assistant to reach. You can ask where a number came from and get a query back.
