Golden Analytics defines AI-native BI, with a remove-the-AI test

The definition article rests on a distinction that is easy to state and hard to verify: Golden Analytics separates "AI as a feature" from "AI as the foundation." Its remove-the-AI test is aimed squarely at two common alternatives — BI tools where AI only advises while humans work in the traditional builder screen, and chat-first tools where a chat box is essentially the whole product. Golden argues these sit on different axes, and that an AI-native product can adopt chat and agent modes as needed while still letting users work by hand.

The criteria trace to FERRARO Consulting's 2026 report, which describes a market mixing "imposters," "innovators," and "true inventors." Notably, the seven principles appear in two slightly different versions — FERRARO's PDF and Golden's own selection guide — and citing which list is meant is advised. Golden's guide converts the principles into vendor questions and red flags, from whether AI is on-off with no middle ground to whether an AI's outputs can be reached only inside the vendor's UI.

Golden also discloses its own ratings under that framework, including weak spots: continuous learning rated Base and high-fidelity governance flagged as a future task. The framework and the evaluator's sponsorship both sit on the vendor side, so the ratings should be read as a vendor-published assessment rather than an independent comparison. It also flags unverified vendor claims such as "up to 10x" analyst output and "dashboards that run in two minutes," suggesting buyers confirm them with their own data in a proof of concept.