Lopus takes three steps to ensure every answer is accurate. First, the AI asks clarifying questions before writing any SQL, so you know exactly what it's querying. Second, every answer is governed by your semantic layer — Lopus doesn't guess what "revenue" means, it uses the definition you locked in during setup. Third, confidence scoring is built in — when data looks incomplete, stale, or ambiguous, Lopus tells you. Every answer shows its work: the SQL query generated, the tables and fields used, and any assumptions made. Technical users can audit every result. This transparency is a design principle, not an afterthought.