Monthly board pack
T2 · GUIDED14-slide template: P&L vs budget + last quarter, KPI dashboard, runway, hiring plan, top 5 wins, top 5 risks, asks. Built in 4 hours. Founder edits narrative, signs, sends.
Reads your GL nightly. Updates the 36-month model. Builds the board pack from scratch in 4 hours (not 4 days). Drafts the investor update on the 1st. Runs scenario analysis when you ask "what if we delay the EU launch by 90 days?". Tells you the truth about CAC, LTV, magic number, NRR and rule-of-40 — with the underlying queries shown, not vibes. The board pack is always founder-signed. Investor updates always founder-sent.
— CAPABILITIES
Modeling, variance, scenarios, KPIs — autonomous. Investor sends, board approvals, fundraise materials — always founder-signed.
14-slide template: P&L vs budget + last quarter, KPI dashboard, runway, hiring plan, top 5 wins, top 5 risks, asks. Built in 4 hours. Founder edits narrative, signs, sends.
Live in Google Sheets. Refreshed nightly from QuickBooks/Xero. Driver-based: ARPU, CAC, payback, churn, headcount plan, vendor ramp. No "saved version Apr-final-v3-FINAL.xlsx" chaos.
Actual vs budget vs prior period at GL line + department + project granularity. Anything >10% / >$5k variance auto-flagged with 1-line root-cause attempt + drill-down link.
ARR, MRR, NDR/NRR, GRR, CAC, CAC payback, LTV, magic number, burn multiple, rule-of-40, quick ratio. With the underlying SQL/cohort logic shown — never "trust me" numbers.
Drafts the monthly investor email on the 1st: 1 paragraph narrative + KPIs + asks. Founder reads, edits, sends from her own inbox. Never auto-sent.
"What if EU launch slips 90 days?" "What if churn drops to 1.2%?" "What if we don't raise until Q1?" Cyborg models in <10 min. 3-scenario output (base / upside / downside) with cash impact + runway + hiring trade-offs.
Net burn rate (3-month rolling), gross burn, runway months at current burn vs trended burn. Slack alerts at 18 / 12 / 9 / 6 month thresholds. Founder + board notified at 12-month flag.
Tracks open reqs vs approved headcount plan. Flags overhires (engineering at +1 over plan = $190k/yr commitment). Models ramp + payroll tax + benefits load.
Tracks every recurring SaaS / cloud / vendor spend. Detects: duplicate tools (3 different "AI summarisers"), unused seats (Notion 47 seats, 31 active), contract auto-renewals 90 days out. Drafts cancellation list.
Drafts data room: financials, KPI deck, cohort tables, ARR bridge, quote-of-the-week from customers. Founder + board approve before any investor access.
Per-customer P&L, per-segment LTV/CAC, gross margin by plan, contribution margin by feature. "If we kill the Free plan, what happens?" answered with data.
Board resolutions, stock-option grants, 409A valuation triggers, secondaries — always founder + lawyer + board. Cyborg preps, never executes. Carta integration draft-only.
— FLUENCY
Pulls from your accounting, billing, CRM, product analytics, and HRIS. Single source of truth. No copy-paste between 7 spreadsheets at month-end.
#finance)★★★★★— THE 1ST OF THE MONTH · 06:00 → 18:00 IST
Series-A SaaS, $4.2M ARR, 8 board members + observers. April closed yesterday by the Accountant Cyborg. Now FP&A turns books into a story.
QuickBooks April locked at 23:42 IST yesterday. Cyborg pulls trial balance, P&L, balance sheet, cash flow. Refreshes the 36-month model. All driver inputs (ARPU, CAC, churn, headcount) re-derived.
April actuals vs budget vs March: revenue +8.1% MoM (good, beat budget by $9k), CAC +14% (Marketing investigating), AWS +38% (vendor dispute filed by Books), payroll flat. 7 lines >10% variance flagged.
ARR $4.21M (+$78k MoM net new), NRR 117%, GRR 94%, CAC payback 13.4mo (target 12), magic number 0.71, burn multiple 1.18, rule-of-40 = 47. Cohort retention table refreshed (24-month customers still 91% retained).
Cash today: $2.41M. April net burn $128k (March $142k — improving). Trended runway: 19 months. Conservative scenario (zero growth, no fundraise): 14 months. Slack alert if drops below 18.
14-slide pack autogenerated from refreshed model. Title page, executive summary placeholder, P&L variance table, KPI grid, ARR bridge, runway chart, hiring plan vs budget, top 5 wins, top 3 risks, 3 asks for board. Founder gets #board-prep ping.
Cyborg + founder voice call. Cyborg reads the data, founder dictates the narrative for executive summary + 3 risks. Cyborg writes it up in founder's voice (trained on 24 prior monthly investor updates).
Monthly investor email drafted: "TL;DR: ARR $4.21M (+$78k), runway 19mo, 1 Series-B convo started, asks: 2 intros." 142 words. Founder reviews + sends from her own Gmail. Never auto-sent.
Detected: 3 different "AI meeting summarisers" ($89/mo total redundant), Notion 47 seats but only 31 active ($192/mo waste), Vercel Pro auto-renewing 3 Jun ($240/mo — downgrade option flagged). Total $521/mo savings drafted to founder.
Founder asks in Slack: "what if we delay EU launch by 90 days?" Cyborg models in 8 min: revenue impact −$184k FY26, cash saved $310k, runway extends 2.4 months, hiring plan delayed by 3 (1 SE, 1 designer, 1 AE).
To founder: pack drafted ✓, narrative locked ✓, asks defined ✓. To board chair: pack will be in your inbox 48h before meeting per bylaws. To board ops: meeting room booked ✓, dial-in tested ✓.
Pack drafted in 4h 12min · investor update drafted (founder reviewing) · $521/mo SaaS savings flagged · 1 scenario modelled · 0 unapproved sends · runway green.
— REAL APRIL BOARD DASHBOARD + INVESTOR UPDATE · ANONYMISED
The two artefacts the board actually reads: the financial KPI dashboard with P&L variance + runway chart, and the 142-word investor update that goes out on the 1st. Founder edited both in 22 minutes.
| Line | April actual | April budget | vs Budget | March actual | MoM |
|---|---|---|---|---|---|
| Revenue | 351,084 | 342,000 | +9,084 · +2.7% | 324,621 | +8.2% |
| Subscription | 312,418 | 308,000 | +4,418 | 289,420 | +8.0% |
| Services | 38,666 | 34,000 | +4,666 | 35,201 | +9.8% |
| COGS | (81,420) | (72,000) | −9,420 · −13.1% | (68,802) | −18.3% |
| Hosting (AWS) | (38,210) | (28,000) | −10,210 ⚠ | (27,640) | −38.2% ⚠ |
| Stripe fees | (9,832) | (10,000) | +168 | (9,128) | −7.7% |
| Gross profit | 269,664 | 270,000 | −336 | 255,819 | +5.4% |
| Gross margin | 76.8% | 78.9% | −2.1pp | 78.8% | −2.0pp |
| Sales & Marketing | (184,210) | (170,000) | −14,210 | (162,418) | −13.4% |
| Engineering | (142,820) | (145,000) | +2,180 | (141,420) | −1.0% |
| G&A | (70,140) | (72,000) | +1,860 | (68,920) | −1.8% |
| Net loss / (burn) | (127,506) | (117,000) | −10,506 | (116,939) | −9.0% |
CASH TODAY $2.41M · APRIL NET BURN $128K (3-MO ROLL $135K) · ASSUMPTIONS: BASE = APRIL TRENDED · CONSERVATIVE = ZERO GROWTH · UPSIDE = +15% MoM · OPEN MODEL IN GOOGLE SHEETS →
TL;DR — ARR $4.21M (+$78k MoM, our best month since November). Runway 19 months at trended burn. 1 Series-B conversation opened. Asks: 2 intros below.
The numbers. April was a quiet beat: +2.7% over budget on revenue, NRR climbed to 117% (Q1: 114%), GRR held at 94%. CAC payback slipped to 13.4 months — we'll fix this in May (see "what's hard").
What worked. Two enterprise expansions in the last week ($31k + $24k ARR uplift, both originated by customer success not sales). A.S. joined as Sr. Backend (started 19 May). HR Cyborg closed the role in 19 days from open req. Maya R. starts as our first design hire 27 May. Marketing's "AI engineering" content series drove 14% of inbound this month, $0 paid.
What's hard. CAC up 14% MoM — mostly LinkedIn paid spend with falling conversion. We're killing 2 of 4 ad sets this week. AWS bill +38% over budget — Books found 3 over-provisioned EC2s (vendor dispute filed, $2,310 credit expected). Hiring 1 PMM is taking longer than planned (open since Feb — honest feedback: our JD was too generic, rewrote with HR Cyborg).
Asks. (1) Warm intro to RevOps leader at any post-Series-B SaaS — we're hiring (and we'd love a half-hour to learn). (2) Anyone with a CFO contact who's survived a Q1 audit on Carta + QuickBooks — we'd appreciate 30 minutes of "what would you do differently" before our own audit prep starts in July.
Thanks — as always, all our raw KPIs are in the live dashboard. Reply with anything you'd like to dig into.
— J.
— INTEGRATIONS
Cyborg reads from your books, billing, CRM, product, payroll, and cap table. The model is a derivative — never the source. If a number is wrong, you fix it upstream and the model re-derives nightly.
#finance)channel:rw · alerts:rw
— FLAT MONTHLY · NO PER-INVESTOR FEE
Most fractional CFOs cost $4-8k/month for 8 hours of work. This Cyborg costs $799-1,799 and works every night.
Monthly board pack + KPI dashboard + 36-month model. Up to $5M ARR. Best for seed / pre-Series-A.
Full FP&A + cohort analysis + per-customer P&L + vendor audit + scenario unlimited. Up to $25M ARR.
Multi-entity consolidation + fundraise materials + investor data room + 409A prep. Up to $100M ARR.
#finance-lead channel14-DAY EVALUATION · 30-DAY MONEY-BACK · MONTH-TO-MONTH · UNLIMITED MODELS · See full pricing →
— DAY 1 → DAY 7
Contract + DPA + region pick. Read access added on QuickBooks/Xero, Stripe, HubSpot, Carta. Edit access on a fresh Google Sheets workspace for the model.
Founder + Cyborg. Last 4 board packs walked through, KPI definitions locked (your NRR formula, your CAC denominator, your "active customer" definition), board meeting cadence, investor list with cadence.
Cyborg ingests last 24 months of GL + 36 months of CRM + 12 months of product analytics. Builds the 36-month live model. Reproduces last 3 board packs — if numbers match within $500, model is trusted.
Cyborg reads last 18 months of investor updates. Picks up your cadence ("TL;DR / numbers / what worked / what's hard / asks"). Drafts a sample for last month — founder grades it.
If a board meeting is in <30 days, Cyborg drafts the next pack alongside the founder's existing process. Side-by-side comparison. Founder picks what to keep.
Model refreshes nightly. KPI dashboard live in Slack. Investor updates drafted on the 1st. Board pack drafted automatically on close + 1. T3 sends + T4 cap-table actions still gated.
— FOUNDER + CFO QUESTIONS
The board-pack-building, model-refreshing, KPI-tracking, investor-update-drafting work — yes, that's the boring 80% your fractional CFO is charging you $4-8k for. The strategic 20% (negotiating term sheets, sitting in board meetings, advising on M&A) is still human. Most of our customers fire their fractional CFO and add a part-time board-level advisor for the strategic moments — net savings around $3-5k/month with better data.
No — T3 gated by design. Cyborg drafts the update by the 1st (or whenever your cadence is), pings you in Slack, you edit in Visible.vc / Notion / Gmail draft, you click send from your own inbox. Cyborg cannot reach your investor distribution list directly — that auth lives only with the founder.
90-day forecast accuracy across our customer base: ±2% for revenue, ±4% for net burn, ±1.5 months for runway. The reason it's tighter than human-built models: refreshed nightly from live data, no "I forgot to update the headcount tab", no formula errors. Anything past 90 days is honest scenario-based (base/upside/downside) — no false precision.
Locked at kickoff (Day 1). Your CAC denominator, your NRR period, your "active customer" definition, your COGS classification — all defined in writing during onboarding, then encoded in the dbt / Cube semantic layer. Board can challenge in a meeting, you change one definition, all 14 slides + investor update + dashboards re-derive overnight. No spreadsheet copy-paste.
Read-only on Carta. Drafts modeling for new option grants, secondaries, future round dilution — never executes. T4-protected: stock grants, board resolutions, 409A triggers always require founder + board + lawyer. Cyborg's role is "prep so well that legal review takes 20 min not 4 hours."
Two reasons they do: (1) Every metric in the dashboard has a "show your work" link — the underlying SQL or model formula is one click away, so any board member can audit. No black-box numbers. (2) Founder still presents and signs — the board never interacts with the Cyborg directly. We've onboarded 14 customers into board meetings without a single trust issue. Several boards have specifically said "this is the cleanest pack I've seen."
This is exactly when it earns its salary. Data room: trial balance, GL detail, AR aging, AP aging, cohort tables, ARR bridge, customer concentration, MRR walk — all auto-prepared, T3-gated for any investor access. Diligence questions ("what's your gross-margin trend by cohort?") answered in minutes, not the 4-day "let me get back to you" cycle. Most fundraises shorten by 4-6 weeks because the data room is already audit-clean.