The whole system,
on one page.

The whole loop, in one scroll. From connecting your warehouse through the agent run, validation, and shipping recommendations — if you want the thirty-second version of DecisionBox before going deep, start here.

The agent doesn't wait to be asked. It forms hypotheses, writes SQL, reads the results, and decides what to investigate next — end to end. Works the way a good analyst works, not the way a chatbot answers questions.

Your findings, in plain English. Ask isn't a chatbot — it's a semantic layer over every insight and recommendation discovery has produced. Type a question and surface the findings that actually answer it, with sources.

Every number is verified before it reaches you. Structured, severity-ranked findings. Each claim is independently re-queried against your warehouse — nothing hallucinated, nothing pulled from context, nothing left unchecked.

From a finding to next Monday. Each validated insight is paired with a prioritized recommendation — target segment, expected impact, effort, and a numbered set of action steps. Something a team could pick up without a meeting.

The same engine, tuned to your vertical. Swappable, industry-specific intelligence that tells the agent what matters in your domain. Start with a live playbook, or author your own in an afternoon without touching the core engine.

Every run starts where the last one stopped. The ground already covered, the findings being tracked, and the threads still open — carried from one run to the next. Month six is the same investigation six runs deeper, not month one repeated.