Raising Money
Data rooms and diligence readiness
The room is the message
Section titled “The room is the message”Due diligence is where the deals are actually actuated, and it can be a deal stopper or a deal mover.
You don’t need paid data-room software; Drive, Box, or Dropbox works. What matters is structure and freshness. The pattern: one master company data room, always current, plus per-investor sub-rooms so access can be granted and revoked investor by investor.
Think of your data room as your go-to-market for all of your stakeholders.
The minimum document set
Section titled “The minimum document set”| Section | Contents |
|---|---|
| Corporate | Charter docs, board consents, cap table |
| Financials | Statements, key metrics, budget/model |
| Revenue | Customer contracts, pipeline |
| People | HR, payroll, equity grants |
| Tax & compliance | Filings, registrations |
| Board | Decks and minutes |
| Product | Roadmap, architecture overview |
Populate incrementally — it’s a living room, not a fundraise-week scramble.
The controls investors actually check
Section titled “The controls investors actually check”- A formalized month-end close with a checklist, and bank statements reconciled.
- A documented revenue-recognition policy. A $10K three-month pilot is recognized over the delivery period, not when the cash lands.
- Expense hygiene. Personal-card expenses tracked, approval thresholds set. The IRS requires receipts at $75+; the recommendation in the room was to require them at $25+. Modern spend-management cards give per-department virtual cards and make this nearly free.
The gaps that stall deals
Section titled “The gaps that stall deals”The recurring diligence failures named in the session: financials months out of date; model metrics that don’t reconcile to the actual statements; missing customer contracts; and cap tables that don’t match the legal documents — old SAFEs shown unconverted years later.
A messy cap table is very, very confusing… reconcile it now.
AI-era margin honesty
Section titled “AI-era margin honesty”Pure SaaS is expected to show 70%+ gross margin. AI-native products with token-based variable costs may run closer to 30% — and that’s acceptable if explained. Two rules from the room: keep license ARR separate from variable AI usage revenue, and never count usage-based revenue as ARR. Investors increasingly expect command of unit economics — the cost to make, sell, and service each unit — and pre-revenue founders should show the path, not a blank.
Sources
Section titled “Sources”One session (Dec 2025) with a fractional CFO who previously ran a ~50-person outsourced-CFO team, on data rooms, financial controls, and diligence red flags.