BOARDROOM PACK How we'd defend your numbers
Cross-Industry
The method travels. Different operations, same discipline: validate against source, name what breaks silently, hand over the keys. Here's the standard — and the proof it holds across sectors.
The standard
Defensible to the dollar isn't a slogan here — it's a measured bar. On a global SaaS company's revenue rebuild we validated $84M to 0.002% variance: under $2,000 of difference across a multi-year migration, every dollar reconciled to source. That is the standard this pack shows you how we hold — on your numbers, in your sector.
The method, in one page
- 01 Two independent models, one environment. We build the output two ways — one that matches the legacy system exactly, one clean — and run both in the same environment, so every difference is real, not an artifact of timezones or type casting.
- 02 Reconcile at every grain. A FULL OUTER JOIN variance check runs at month, then plan, then customer level. A gap that disappears as you drill in is a grain issue; one that persists is a logic error — and now you know which.
- 03 Parity first, fixes second. We replicate the legacy numbers exactly — bugs included — and validate to near-zero variance before changing anything. Then each bug is fixed in its own reviewed change, where the intent is explicit and signed off.
- 04 A threshold, not a feeling. The bar was under 0.01%. The result was 0.002% — and the process surfaced 15 silent production bugs that a row-count check would never have caught.
The questions your board will ask
- Can you defend this number to source?
- Yes. Every figure traces back through the reconciliation to the system of record. Dual models and a FULL OUTER JOIN at every grain mean we show where each dollar comes from — not just that the total matches.
- What breaks silently?
- The things a total hides. Parity-first validation is built to surface them — on the $84M rebuild it found 15 silent production bugs before they reached a board deck, including a $472K undocumented rate anomaly applied at the database level with no history.
- Who controls the logic — pricing, tiers, the rules?
- Finance does, in a governed layer it can read — not a hardcoded CASE statement buried in a query nobody owns. When the rules are visible, the anomalies stop being invisible.
- What happens when the consultant leaves?
- You own it. The work is documented and handed over, and it's senior-led start to finish — no juniors learning on your account.
- How fast can we trust the number?
- The number is defensible before it's pretty. Parity first means you can sign off on accuracy early; the polish and the fixes come after, in reviewed changes.
Proof for your sector · Cross-Industry
Every number in this pack is a real, audited result. Career work — pre-Clarivant, at P&G / eBay — is labelled (career).
Bring us the number nobody trusts.
A 30-minute call, direct with the founder — no pitch. We'll tell you, on your own data, exactly how we'd defend it.