The proof
Every demo shares one shape: the answer is already sitting in the business's own messy data — nobody has the time or tooling to ask the question. These dramatize the gap. Not "AI is magic," but "the thing you've been meaning to look at for two years took ninety seconds." All data is synthetic, deterministic, and deliberately dirty.
A worked example · a real analysis, recorded
An actual analysis of a deliberately messy receivables file — recorded, not staged. Synthetic company, real reasoning. Read it two ways.
Synthetic data, real math — a recorded analysis, not a live model. The figures and the ledger are computed from the 101-row file above. In a live engagement this runs on your books, in the room.
The flagship · a built mirror
A synthetic stand-in for a real medical-device sales CRM — 526 accounts, 1,078 contacts, 958 opportunities, 6,444 activities, and 1,939 free-text rep notes written in terse quota-carrying voice ("called, LM", "ghosting me lately", "VAC approved!! PO incoming"). Deliberately dirty: duplicate accounts, 22 spellings of 4 account types, missing fields, mixed date formats. The AI is pointed at it cold and shrugs at the mess.
The golden rule of the demo: never tell the AI the pattern. Ask an open business question a sales leader actually asks — and let it discover the thing. The reveal lands because they watched it find it.
Churned accounts averaged 256 days silent — 100% had crossed a 90-day no-touch gap before they left. Applied to active accounts, it produces tomorrow morning's save list: ~30 accounts already past the line, corroborated by the reps' own notes.
92% of won upsells had an in-person visit or dinner within 30 days of close — versus ~25–35% for other deal types. The T&E line stops being a cost and becomes a pipeline driver, with the exact dinners to book next.
After normalizing the dirty type labels, Surgery Centers close 87% of their won deals in Q4 — a year-end budget-flush buyer hiding in plain sight. Out comes a back-planned quota cadence, not last year's report.
Every number is QA-verified against the actual data — the demo scripts were run prompt-by-prompt and corrected so nothing is oversold live.
The pocket arsenal · phone-runnable, under 3 minutes
Built for the country club, the deer lease, the vendor dinner — wherever the buyer actually relaxes. Each is one prompt, a phone-sized reveal, and a different mechanic so no two feel like the same trick. Spread deliberately across industries.
Ranks overdue receivables and flags the chronic-late offender — one name 14–15× the next. "I'm profitable on paper and broke in the bank."
Detects the cadence gap — the regulars who simply stopped ordering. ~$100K/yr of silent churn nobody had an alarm for.
Ranks the open quotes going cold by age and value. "Half my pipeline is quotes I forgot about." $300K+ sitting unchased.
Splits the fleet by utilization and surfaces the ghost asset back in the yard for a week. "Half my fleet is a lawn ornament."
Aggregates unbilled billable hours — 90 hours, ~$15K, gone. "Every month a chunk of hours just evaporates."
Ranks accounts by true margin and finds the "best" customer that quietly loses six figures. The unprofitable account hiding in the average.
We didn't clean the data. We didn't build a dashboard. We asked three questions a sales leader actually asks — and it found money in all three.