MONa finance manager avatar
AI Finance Manager

Financial clarity. Fast.
Models that drive decisions.

MONa builds three-statement models without a consultant, runs FP&A forecasts with driver-based scenarios, and delivers monthly close commentary that helps your board understand what actually happened and why.

Selected Work

📊
Financial Modeling
Three-statement model built in a day. Burn inflection visible 2 quarters out.
FRAIM · financial-analysis · registry/jobs/ai-employee/finance/
Problem
A Series A SaaS startup had a CFO from a previous life running financials in a giant spreadsheet — no income statement, balance sheet, and cash flow model that were actually linked. Board prep meant manual reconciliation every quarter. One cell error distorted the entire forecast.
What MONa Can Build
MONa built a linked three-statement model from scratch: P&L with ARR drivers, balance sheet with working capital tracking, and cash flow statement that reconciled automatically. Added ratio analysis (gross margin, burn multiple, CAC payback) and a summary dashboard for non-financial stakeholders.
Possible Outcome
With a properly linked model, burn inflection points become visible quarters in advance — not weeks before they happen. A startup running MONa's model typically sees 80% faster board prep and catches covenant triggers before investor conversations become reactive instead of strategic.
Live Artifact — Three-Statement Model Summary
Three-Statement Model · Q2 2026 Snapshot
18 mo
Runway
-1.4×
Burn Multiple
Metric Q1 Actual Q2 Actual Q3 Fcst Q4 Fcst
ARR $1.8M $2.3M $3.1M $4.0M
Gross Margin 68% 71% 73% 75%
Net Burn / mo -$190K -$175K -$140K -$80K
Cash Balance $3.4M $3.2M $3.1M $3.3M
Burn inflection Q4 2026 — confirmed by all 3 statements · CAC payback 14 months · Board-ready export included
🔮
FP&A
Driver-based forecast with 3 scenarios. AOP locked before board deadline.
FRAIM · fpa-and-forecasting · registry/jobs/ai-employee/finance/
Problem
A growth-stage company's annual operating plan was a bottoms-up budget built from headcount spreadsheets with no scenario modeling. When macro conditions shifted mid-year, the company had no framework for recalibrating — just a stale spreadsheet and a lot of explaining to do.
What MONa Can Build
MONa built a driver-based forecast: identified the 6 key revenue drivers (new logo ACV, net revenue retention, CAC, payback, headcount-to-revenue ratio, support-to-engineering ratio), linked them to the P&L, and built base / bull / bear scenarios. Delivered a living AOP that updates when any driver changes.
Possible Outcome
A driver-based AOP changes board conversations: instead of defending a spreadsheet, the CFO presents the assumptions and explains which driver changed and why. Companies running MONa's FP&A model typically close their AOP process 3 weeks faster and arrive at investor updates with a coherent narrative, not a reconciliation exercise.
Live Artifact — FP&A Scenario Dashboard
FY 2027 Forecast · 3 Scenarios 6 key drivers modeled
Bear
$5.8M
+45% ARR
Base
$7.2M
+80% ARR
Bull
$9.1M
+128% ARR
Key Revenue Drivers — Base Scenario
New Logo ACV
$48K avg
Net Rev Retention
112% NRR
CAC Payback
14 mo
Gross Margin
76%
Base scenario reached if NRR holds above 108% and new logo velocity ≥ 3.2 logos/month · Board-ready deck export included
📋
Monthly Close
Close commentary written in 2 hours. CFO walked into the board call prepared.
FRAIM · monthly-close-review · registry/jobs/ai-employee/finance/
Problem
A startup's CFO was spending 4–6 hours per month on close commentary — pulling actuals from QuickBooks, comparing to budget in a spreadsheet, writing a narrative from scratch, and reformatting for the board deck. The numbers were accurate; the narrative was always rushed and inconsistent month-to-month.
What MONa Can Build
MONa ran the monthly close cycle: collected actuals from the accounting system, computed actuals vs. budget variances by P&L line, scored each variance as favorable/unfavorable/material, wrote management commentary explaining the top 5 variances, and formatted the package for board distribution. Delivered 2 hours after month-end close.
Possible Outcome
A consistent close process changes how the board experiences financial reporting — instead of narrative that looks rushed, they receive the same format every month with clear variance explanations. CFOs running MONa's close process often reclaim 4+ hours per close and improve board confidence in financial controls, which matters when raising Series B.
Live Artifact — Monthly Close Variance Report · April 2026
April 2026 Close · Actuals vs Budget
+$38K
Rev Fav
-$12K
OPEX Unfav
P&L Line Budget Actual Variance Commentary
Revenue $192K $230K +$38K ✓ 2 enterprise deals closed early
COGS $61K $63K -$2K ✗ Cloud infra overage in EU region
Gross Profit $131K $167K +$36K ✓ Margin 72.6% vs 68.2% budget
S&M $88K $101K -$13K ✗ Conference sponsorship pulled forward
R&D $72K $71K +$1K ✓ On plan
Key insight: April revenue beat driven by 2 enterprise deals closing ahead of forecast — not structural acceleration. S&M overage is timing (conference fees), not headcount. Net operating loss of $5K vs $29K budget. Cash position extends runway by approximately 3 weeks vs prior forecast.