Ask your warehouse
anything.

Ask isn't retrieval over pre-computed insights anymore. It's an agent that reasons about your question and runs read-only SQL over your warehouse to answer it — in plain English, with the real numbers, its steps shown, and charts rendered inline.

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acme.decisionbox.io/ask

Ask — a real agentic Data Q&A session: a plain-English question answered with warehouse-grounded numbers

A real Ask session — a plain-English question and the agent's grounded answer, built from read-only queries it ran against the warehouse.

Not a chatbot

It reasons, queries, and answers

A chatbot answer

"Based on your data, active accounts appear to be growing. You may want to look into what's driving it. Would you like me to generate a report?"

An Ask answer

Active accounts grew 38% over 6 months — here's the query and the numbers.

Source

Live warehouse

Queries

2 run

Access

Read-only

Every number comes from SQL the agent actually executed — nothing paraphrased.

Grounded in your warehouse

How it works

An agent, not a search box

Reasons before it answers

Ask plans the question: which tables to look at, what to join, how to slice it. You see the steps, not just a black-box reply.

Runs read-only SQL

It writes and executes read-only queries against your warehouse — the real numbers, not a guess from context. Every query is scoped to what the agent is allowed to see.

Durable, long-running

Hard questions take more than one query. Ask keeps working — minutes or hours — across many steps, and the session survives so you can come back to the answer.

PII-safe and role-gated

Ask runs inside the same governance as everything else: redaction, schema filtering, and role-based access decide what it can query and what comes back.

Charts & visualization

Answers you can see, not just read

When a question is really about a trend or a breakdown, Ask renders the result as a chart right in the conversation — no exporting to a BI tool to see the shape of the data.

acme.decisionbox.io/ask

Ask renders a bar chart inline — top drugs by total claims, grounded in the query result

Enterprise · a real Ask session rendering a chart inline, grounded in the query it ran.

Built on the same agent as discovery

Ask uses the same autonomous agent that powers discovery runs — the one that writes SQL, reads your schema, and self-heals failing queries. That's why it can answer open-ended questions on the fly instead of only surfacing findings that were pre-computed. The agentic Data Q&A and inline charts are Enterprise capabilities.

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Ask your warehouseanything.