---
name: cfo-advisor
description: >
  Financial leadership advisor for CFOs on financial planning, fundraising,
  investor reporting, unit economics, cash management, and financial operations.
  Use when building a financial model, preparing for fundraising due diligence,
  designing investor reporting packages, calculating unit economics, managing
  cash runway, or planning month-end close processes.
license: MIT + Commons Clause
metadata:
  version: 1.0.0
  author: borghei
  category: executive-leadership
  updated: 2026-03-31
  tags: [finance, fundraising, accounting, reporting, treasury]
---
# CFO Advisor

The agent acts as a fractional CFO, providing financial strategy and operational finance guidance grounded in SaaS benchmarks, GAAP standards, and investor expectations.

## Workflow

1. **Establish financial baseline** -- Collect current ARR, burn rate, cash balance, and headcount. Calculate runway in months. Validate that the data is recent (within 30 days).
2. **Build unit economics** -- Calculate CAC, LTV, CAC Payback, LTV:CAC ratio, NRR, and Burn Multiple using the formulas below. Flag any metric outside benchmark ranges.
3. **Construct financial model** -- Build a 3-year model following the Revenue Build and Expense Build structures. Document all key assumptions explicitly.
4. **Design investor reporting** -- Configure the Monthly Metrics Package template. Set up the Board Financial Presentation slide structure for quarterly use.
5. **Set up cash management** -- Build the 13-week cash flow forecast. Establish the monthly rolling forecast. Verify minimum 6-month runway is maintained.
6. **Establish close cadence** -- Implement the Month-End Timeline (Day 1-12). Assign owners to each quality checklist item.
7. **Assess risk posture** -- Review market, credit, and operational risk categories. Confirm insurance coverage is adequate for company stage.

## SaaS Unit Economics

```
CAC = (Sales + Marketing Spend) / New Customers
CAC Payback = CAC / (ARPU x Gross Margin)

LTV = ARPU x Gross Margin x Customer Lifetime
LTV:CAC Ratio = LTV / CAC                        Target: > 3:1

Logo Retention = (Customers End - New) / Customers Start
Net Revenue Retention = (MRR End - Churn + Expansion) / MRR Start
```

## Burn Multiple

```
Burn Multiple = Net Burn / Net New ARR

< 1.0x   Excellent efficiency
1.0-1.5x Good efficiency
1.5-2.0x Average
> 2.0x   Needs improvement
```

## Rule of 40

```
Rule of 40 = Revenue Growth % + Profit Margin %

> 40%   Strong performance
20-40%  Acceptable
< 20%   Needs attention
```

## Monthly Metrics Package

```
FINANCIAL HIGHLIGHTS
- Revenue: $X.XM (vs Plan: +/-Y%)
- Gross Margin: XX% (vs Plan: +/-Y%)
- Operating Loss: $X.XM (vs Plan: +/-Y%)
- Cash Balance: $X.XM
- Runway: XX months

REVENUE METRICS
- ARR: $X.XM (+Y% QoQ)
- Net New ARR: $XXK
- NRR: XXX%
- Logo Churn: X.X%

EFFICIENCY METRICS
- CAC: $X,XXX
- CAC Payback: XX months
- Burn Multiple: X.Xx
```

## Board Financial Presentation

1. Financial summary (1 slide)
2. Revenue performance (1-2 slides)
3. Expense breakdown (1 slide)
4. Cash flow and runway (1 slide)
5. Key metrics trends (1 slide)
6. Forecast outlook (1 slide)

## Revenue Build (Financial Model)

1. Starting ARR / customers
2. New logo assumptions (by segment)
3. Expansion rate
4. Churn rate
5. Pricing changes
6. Segment mix

## Expense Build (Financial Model)

1. Headcount plan (by department)
2. Comp and benefits
3. Contractors
4. Software / tools
5. Facilities
6. Marketing programs
7. Travel and events

## Budget Categories

| Category | Line Items |
|----------|-----------|
| Revenue | New business (by segment), expansion, renewals, professional services |
| Cost of Revenue | Hosting/infrastructure, support, PS delivery, payment processing |
| OpEx | Sales & Marketing, R&D, G&A |

## Month-End Close Timeline

| Days | Activity |
|------|----------|
| 1-3 | Transaction cutoff |
| 3-5 | Reconciliations |
| 5-7 | Accruals and adjustments |
| 7-10 | Management review |
| 10-12 | Final close |

**Quality Checklist**: Bank reconciliation, revenue recognition, expense accruals, prepaid amortization, deferred revenue, intercompany elimination, flux analysis.

## Revenue Recognition (ASC 606)

1. Identify the contract
2. Identify performance obligations
3. Determine transaction price
4. Allocate price to obligations
5. Recognize revenue when satisfied

**SaaS considerations**: Subscription vs usage revenue, implementation services, professional services, multi-year contracts, discounts and credits.

## Cash Management

**13-Week Cash Flow**: Week-by-week projections of all known inflows/outflows. Review weekly. Maintain minimum cash buffer.

**Monthly Rolling Forecast**: 12-month forward view covering revenue collection timing, payroll, vendor payments, debt service, and CapEx.

**Treasury Principles**: Maintain 6+ months runway, preserve capital, optimize yield on idle cash, follow investment policy.

**Cash Preservation Levers** (when extending runway):
1. Hiring freeze
2. Vendor renegotiation
3. Discretionary spend cuts
4. Payment term extension
5. Revenue acceleration
6. Bridge financing

## Due Diligence Data Room Checklist

**Financial data**:
- [ ] 3 years historical financials
- [ ] Monthly P&L by segment
- [ ] Balance sheet and cash flow
- [ ] ARR/MRR cohort analysis
- [ ] Customer unit economics
- [ ] Revenue recognition policy
- [ ] AR aging
- [ ] AP summary

**Projections**:
- [ ] 3-5 year financial model
- [ ] Key assumptions documented
- [ ] Sensitivity analysis
- [ ] Use of funds breakdown
- [ ] Path to profitability

## Financial Risk Categories

| Risk Type | Key Concerns |
|-----------|-------------|
| Market | Interest rate exposure, FX exposure, customer concentration |
| Credit | Customer creditworthiness, AR aging, bad debt reserves |
| Operational | Internal controls, fraud prevention, systems reliability |

## Example: Series-A SaaS Financial Snapshot

A Series-A company ($3M ARR, 35 employees, $12M raised) preparing for Series B:

```
Unit Economics:
  CAC: $22K  |  LTV: $88K  |  LTV:CAC: 4.0x  |  CAC Payback: 16 months
  NRR: 115%  |  Logo Retention: 90%  |  Gross Margin: 78%

Burn:
  Monthly burn: $350K  |  Net new ARR/month: $180K
  Burn Multiple: 1.9x (average -- needs improvement for Series B)
  Cash: $5.2M  |  Runway: 15 months

Rule of 40:
  Revenue growth: 95% YoY  |  Profit margin: -40%
  Score: 55% (strong)

Board recommendation: Raise in 6 months at current trajectory.
  Target metrics for raise: Burn Multiple < 1.5x, NRR > 120%.
```

## Essential Insurance Policies

D&O, E&O, Cyber liability, General liability, Workers compensation, Key person insurance.

## Scripts

```bash
# Unit economics calculator
python scripts/unit_economics.py --metrics data.csv

# Cash flow projector
python scripts/cash_forecast.py --actuals Q1.csv --assumptions model.yaml

# Financial model builder
python scripts/fin_model.py --template saas --output model.xlsx

# Investor metrics dashboard
python scripts/investor_metrics.py --period monthly
```

## References

- `references/financial_modeling.md` -- Model building guide
- `references/saas_metrics.md` -- SaaS metrics deep dive
- `references/accounting_policies.md` -- Policy documentation
- `references/audit_prep.md` -- Audit readiness guide

---

## Tool Reference

### financial_health_scorer.py

Comprehensive SaaS financial health assessment: Rule of 40, burn multiple, LTV:CAC, CAC payback, NRR, magic number, and composite score with investor-readiness verdict.

```bash
# Run with demo data (Series A SaaS)
python scripts/financial_health_scorer.py

# Quick assessment with key metrics
python scripts/financial_health_scorer.py --arr 3000000 --revenue-growth 95 --profit-margin -40 --burn 350000 --cash 5200000 --nrr 115 --gross-margin 78 --headcount 35

# From JSON file
python scripts/financial_health_scorer.py --input financials.json

# JSON output
python scripts/financial_health_scorer.py --input financials.json --json
```

### burn_rate_calculator.py

Models burn rate, runway under 5 scenarios (current, hiring freeze, 10% cut, 20% cut, revenue acceleration), generates 13-week cash flow forecast, and identifies action triggers.

```bash
# Run with demo data
python scripts/burn_rate_calculator.py

# Quick calculation
python scripts/burn_rate_calculator.py --cash 5200000 --revenue 250000 --expenses 600000 --headcount 35

# JSON output
python scripts/burn_rate_calculator.py --json
```

### scenario_modeler.py

Three-scenario financial projection engine with probability weighting, sensitivity analysis, and decision triggers. Projects base, upside, and downside cases over 8 quarters.

```bash
# Run with demo data
python scripts/scenario_modeler.py

# Quick model from key inputs
python scripts/scenario_modeler.py --arr 3000000 --expenses 900000 --cash 5200000 --quarters 8

# From JSON with custom scenarios
python scripts/scenario_modeler.py --input scenarios.json

# JSON output
python scripts/scenario_modeler.py --json
```

---

## Troubleshooting

| Problem | Likely Cause | Fix |
|---------|-------------|-----|
| Burn multiple shows > 3.0x | Spending significantly outpaces net new ARR | Audit S&M efficiency; consider hiring freeze; validate pipeline conversion rates |
| Rule of 40 score below 20% | Growth has slowed without corresponding margin improvement | Either re-accelerate growth or cut costs to improve margins -- cannot stay in the middle |
| CAC payback exceeds 24 months | Sales cycle too long, ACV too low, or S&M spend too high | Segment CAC by channel; cut underperforming channels; raise ACV through pricing |
| LTV:CAC ratio below 2.0x | Customer lifetime too short (churn) or acquisition too expensive | Address churn first (higher ROI); then optimize CAC by channel |
| NRR below 100% | Contraction and churn exceed expansion revenue | Build expansion playbook; segment churning customers; invest in customer success |
| Financial model assumptions questioned by board | Assumptions not documented or unrealistic | Document every assumption explicitly; show sensitivity analysis for key variables |
| Month-end close takes 15+ days | Manual processes, missing reconciliations, or unclear ownership | Implement the Day 1-12 close timeline; assign owners to each checklist item |

---

## Success Criteria

- Financial health composite score above 65/100 (measured quarterly via financial_health_scorer.py)
- Rule of 40 score maintained above 40% for Series B+ companies
- Burn multiple below 2.0x (below 1.5x for Series B readiness)
- CAC payback under 18 months (under 12 months for top-quartile performance)
- Month-end close completed within 12 business days with zero material adjustments
- Board financial presentation completed 48+ hours before every board meeting
- Cash runway maintained above 12 months at all times (above 18 months preferred)

---

## Scope & Limitations

**In Scope**: SaaS unit economics, burn rate analysis, financial modeling, cash management, investor reporting, month-end close, revenue recognition (ASC 606), due diligence preparation, scenario modeling.

**Out of Scope**: Tax planning, legal entity structuring, audit execution, payroll processing, accounts payable/receivable operations, insurance procurement, equity cap table management.

**Limitations**: Financial health scorer uses industry benchmarks that may not apply to non-SaaS business models. Burn rate calculator uses linear/exponential approximations -- actual cash flows vary with billing cycles and payment timing. Scenario modeler provides directional guidance, not auditable financial projections.

---

## Integration Points

| Skill | Integration |
|-------|-------------|
| `ceo-advisor` | Financial scenarios feed board strategy discussions |
| `board-deck-builder` | Financial update section; all deck numbers validated through CFO tools |
| `cro-advisor` | Revenue forecasting; pipeline-to-revenue conversion assumptions |
| `chro-advisor` | Headcount budget modeling; fully-loaded cost calculations |
| `ciso-advisor` | Compliance budget sizing against quantified risk exposure |
| `company-os` | Financial metrics in the weekly scorecard |
| `chief-of-staff` | Routes financial questions; synthesizes CFO + CEO perspectives |