Autonomous Analytics Agent Answers Business Questions in Seconds for a Retailer

We built an autonomous analytics agent that lets any manager ask a business question in plain English and get back an accurate, explained answer in seconds — no SQL, no ticket, no waiting on the analytics team. Ask it why margins dropped in the Midwest last week, and it works out which tables to query, writes and runs the query, checks the result for sanity, and replies with the number, a short explanation, and the exact data it used. The hard part of an analytics agent is trust: a confidently wrong number is worse than no number. So we engineered the agent to be verifiable and safe rather than merely fluent. Key elements of the build: - A semantic layer that maps business terms like margin, churn, and same-store sales to the correct tables and definitions - A reasoning loop that plans the query, runs it, and validates the result before answering - Read-only, role-based access so the agent can never modify data and only sees what each user is permitted to - Every answer returned with the underlying query and figures, so it can be audited and trusted - An evaluation set of real business questions with known answers, used to measure accuracy before rollout Rather than replacing the analytics team, the agent freed them. Routine questions that used to consume their week now answer themselves, and the analysts moved on to the deeper, high-value work that actually needed a human. Decisions that once waited days for a report now happen in the same meeting they come up in.