Solutions · Business & Operations Teams
You run the campaign, the territory, the P&L line, the launch. When a number moves you need to know why now — in the meeting, not next sprint. So you file a ticket and wait, or you squint at a dashboard built for last quarter's question, or you pull the export into a spreadsheet and hope you cut it the same way the last person did. Spotonix is the AI analyst that interprets before it queries: you ask in plain business language, it shows you the plan it's about to run, and the answer comes back built from definitions your team already governs.
What you do today
None of these is a mistake. They're the only options you have when the question is yours but the SQL isn't. And all three put a gap between the question in your head and a number you can stand behind.
Wait in the analyst queue
You write up what you need, drop it in the queue, and wait behind everyone else's request. By the time it lands, the meeting's over or the question has already moved on. You didn't need it to be perfect — you needed it to be today.
Read a dashboard built for a different question
The dashboard shows a cut that's adjacent to what you asked — a different date window, a filter you can't see, a metric named the same but defined differently. You read confidence into a number that was never answering your question, and nobody catches it until it's in the deck.
Pull it into a spreadsheet yourself
You export the raw data and rebuild the logic by hand. It works — until someone asks how you defined “active” or why your number doesn't match the analyst's. Now you're not making the decision, you're defending the arithmetic. That was never your job.
What it costs you Every one of these trades your time and your credibility for an answer — and still leaves you unsure whether the number would survive a second look.
What changes
The answer isn't trustworthy because you rebuilt it — it's trustworthy because it was built from the same definitions your team already agreed on. You stay the operator. You never become the analyst.
01
No SQL, no filter syntax, no waiting for a slot in someone's week. You type the question the way you'd say it out loud, and Spotonix does the interpreting — not you.
02
Before any query runs, you see which Segments, Calculations, and Analysis Patterns it's using — in plain language. If it read you wrong, you catch it in a glance instead of in the deck.
03
The plan shows which governed definitions the analysis uses, and the resulting query can be inspected against those bindings. You can defend the interpretation without pretending the system makes repeated-query guarantees it does not yet make.
How it works
Three steps, and only the first one is yours. You never touch a query — you just confirm it understood.
“Why did signups drop in the West region last week?” The way you'd ask a colleague — no fields to pick, no formulas to write, no ticket to file.
It resolves your question into a visible plan — the Segments, Calculations, and window it will use. Where unresolved business meaning could materially change the analysis, it can ask. In Copilot mode, you confirm the plan before query generation continues.
Grounded in governed definitions and traceable to the visible plan. You still apply business judgment, but you no longer have to reconstruct the interpretation from SQL after the fact.
The questions you actually ask
You ask it in plain language. Spotonix maps the question to governed definitions and shows the analytical interpretation before SQL executes.
“Which accounts are trending toward churn this quarter, and what do they have in common?”
Segment At-risk accounts Calculation Churn-risk trend Pattern Shared-driver breakdown
“Did last month's promo actually lift repeat orders, or just pull them forward?”
Segment Promo vs. non-promo buyers Calculation Repeat-order rate Pattern Before/after comparison
“Why is my region behind plan — is it fewer deals or smaller ones?”
Segment My region vs. plan Calculation Deal count & average size Pattern Contribution to gap
Proof
The reason you can trust the answer is that you can see how it was built. Watch it show the plan before it runs, ask when your question is ambiguous, and hold to the same plan when you ask again. Worked traces use the public TPC-DS schema (illustrative). Design-partner engagements are underway.