The whole system,
on one page.
DecisionBox is an autonomous discovery platform — six pieces that fit together into something an analyst would recognize but a chatbot couldn't build. This is the map. Click any piece to go deeper.
Click any node to jump into that piece of the system.
What DecisionBox is — and isn't
Each one, in a paragraph
How It
Works
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.
Read the walkthroughAI Discovery
Agents
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.
Meet the agentAsk
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.
Try a questionValidated
Insights
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.
See what an insight looks likeRecommendations
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.
See a recommendationDomain
Packs
The same engine, tuned to your vertical. Swappable, industry-specific intelligence that tells the agent what matters in your domain. Start with a live pack, or author your own in an afternoon without touching the core engine.
Learn how packs composeTry it in two minutes
Clone the repo, run docker compose up, and point it at your warehouse.