The analyst copilot understands company context, not just the query

An analyst copilot should answer questions about company data, but a simple query like “revenue for the quarter” hides many decisions: which revenue exactly, on which calendar, net of which returns, and which data the user is even entitled to see.

The Korveniq AI copilot relies on a semantic layer that links terminology, access rights and data lineage. As a result the system understands company context, not just the text of the query, and gives answers that can be verified.

A single vocabulary of terms

In any company the same words mean different things in different departments. The semantic layer records the definitions: what an “active customer” is, how “revenue” is calculated, which fields belong to which metric.

When the copilot receives a question, it matches it to these definitions instead of guessing meanings from general sense. This reduces the risk of an answer that sounds convincing but computes something other than what the analyst meant.

Access rights in every answer

The semantic layer knows which data, and how much of it, a given user may access. The copilot builds an answer only from permitted sources, so it does not reveal what a person is not entitled to see.

Rights are enforced at the data level, not only in the interface: a cleverly phrased question cannot bypass a restriction.

Data lineage and verifiable answers

Each answer comes with its lineage: which tables and reports the data came from, by which rules it was calculated and when it was updated. The analyst sees not only the number but the path it took.

This makes it possible to re-check a result and quickly find the cause of a discrepancy if a figure differs from what was expected.

Every copilot answer comes with its source and calculation rules.

Where to start

Rollout begins with a small set of key metrics: definitions, data owners and access rules are described. That is enough for the copilot to start answering real questions and show where the vocabulary needs refining.

The Korveniq AI team can help build the semantic layer around your data and connect the copilot to existing sources.