The Senior Analyst answers the “why” — in plain language, in Claude, or ChatGPT — through MCP Server. Every answer is tracable & analyst-approved. Never a hallucinated number. It’s the analyst your whole company can trust.
Explore how different team members can iteract with trusted data using OWOX & Claude or ChatGPT
Every department has someone pasting company data into ChatGPT. The numbers come back different every time. Here’s what changes when the answers are grounded.
The question isn’t whether your team uses AI for data. It’s whether the answers are true.
Get started free →Start with the Reporting Analyst to build the governed library. Add the Senior Analyst when your team needs to ask “why.”
Pulls and blends your data. The on-ramp. Refreshes reports on time. Collects data to dwh.
Builds the library of data marts; every team self-serves reports in Sheets.
Answers “why” in plain language — @owox in Claude, ChatGPT. Grounded, traceable, never hallucinated. You’re here.
The Senior Analyst answers from the same Data Marts your Reporting Analyst published — analyst-defined logic, approved SQL, clear ownership. Ask a question; OWOX runs the governed query behind it and writes the answer around the result. The AI never touches raw tables and never makes up a number.
Your stakeholders ask questions the way they’d ask a human analyst — in plain language, in the tools they already live in. The Senior Analyst replies with the number, the trend, and the narrative behind it.
A single published Data Mart feeds multiple Sheets, Looker Studio dashboards, Slack digests, and email summaries — simultaneously. Same SQL, same numbers everywhere. You never duplicate a query again.
Connect the Senior Analyst to your governed Data Mart library. Your team asks in Claude, or ChatGPT. Every answer is grounded, traceable to SQL, never hallucinated.
Point the Senior Analyst at your governed library. Your team asks in plain language. It answers, traceably.
Point the Senior Analyst at the Data Marts your team already published. Approved logic, nothing raw.
In Claude, or ChatGPT, in plain language. “Why did CAC spike?” “What’s our best-performing channel this month?”
OWOX runs the governed query, writes the narrative, and links every number back to its SQL. No hallucinations.
It's called MCP: a secure connection between your governed Data Marts and the AI your team already uses — Claude or ChatGPT. They ask their business a question; OWOX answers over the marts your analyst approved, with the SQL attached. The AI never touches your raw warehouse and never writes its own joins.
✓ Works with Claude, and ChatGPT — via MCP
✓ Answers carry your business context — definitions, ownership, access rules
✓ Right people, right data — context-based access on every Data Mart
When the whole company can @mention an analyst, you might worry you've lost the thread. You haven't. Run History logs every AI query and the governed SQL behind it — including the moment an assistant reaches for a field you never published. You stay the authority because you can see everything.
Model Canvas is a standalone visual data-modeling tool (open OKF format, pre-built domain models). Map how CAC, spend, and revenue connect, then bring the model into OWOX. A genuinely useful gift for your analyst — not a pitch.
When anyone can mention @owox and get a trusted answer, you get your time back.
Your team gets the “why” without a meeting or a ticket. The Senior Analyst replies in their tools, on their schedule.
Every number is deterministic and traceable, not an LLM guess. Board-defensible from day one.
Your analysts define the logic; the AI only narrates it. You’re out of the Slack thread, still in control of the truth.
Three outcomes you get the moment your data marts go live
Connect your warehouse, build your Data Mart library, hand it off in Sheets. Your stakeholders self-serve. You get your Mondays back.
Full OWOX platform on your infrastructure. ELv2 + MIT licensed. Free for internal use and client work — forever.
