DuPont decomposition, NOPAT analysis, cash flow forecasting, and board-ready reporting. All automated from your general ledger.

Financial Automation: CFO-Grade Analytics, Automated

Your general ledger contains the answers. You just need the right questions — asked automatically.

Most financial reporting is backward-looking, manual, and late. The CFO's team spends the first two weeks of every month assembling last month's numbers into spreadsheets. By the time the analysis reaches decision-makers, it is stale. And it answers the easy questions (what happened?) while ignoring the hard ones (why? and what's changing?).

Boggess AI's Financial Automation solution connects directly to your accounting system, applies institutional-grade analytical frameworks automatically, and delivers insight where your team works — Teams channels, email, dashboards — in real time, not on a monthly lag.

The Financial Reporting Gap

Traditional Approach	Boggess AI
Monthly close takes 10-15 business days	Real-time on transaction sync
Ratio analysis in Excel (error-prone)	Automated with statistical validation
DuPont decomposition? "We don't do that"	Computed every period, automatically
Board packages assembled manually	Generated and delivered on schedule
Cash flow forecasting by feel	Statistical projection from historical patterns
Multi-entity consolidation in spreadsheets	Automated with intercompany elimination

Key Features

1. DuPont 5-Factor Decomposition

The DuPont model is the standard framework for understanding what drives return on equity. Most companies never compute it because the math is tedious across chart-of-accounts data. We automate it completely.

Five factors, computed automatically every period:

Tax Burden (Net Income / Pre-Tax Income): How much of your pre-tax profit you keep
Interest Burden (Pre-Tax Income / EBIT): Impact of your debt service on profitability
EBIT Margin (EBIT / Revenue): Core operating profitability
Asset Turnover (Revenue / Avg Total Assets): How efficiently you use assets to generate revenue
Equity Multiplier (Avg Total Assets / Avg Equity): Your leverage ratio

When ROE changes, you know exactly which factor moved and by how much. No guessing, no spreadsheets.

2. Healy-Palepu NOPAT Framework

The Healy-Palepu framework answers the question that DuPont alone cannot: "Is our leverage creating or destroying value?"

By isolating Net Operating Profit After Tax (NOPAT) from capital structure, you see:

RNOA (Return on Net Operating Assets): Your true operating return
Net Borrowing Cost: What your debt actually costs after tax
Spread (RNOA - NBC): Positive = leverage creates value; negative = leverage destroys value
Financial Leverage Gain: Spread multiplied by leverage ratio

If your spread is negative, every dollar of debt is making your business less valuable — regardless of what your P&L shows.

3. Automated Board Packages

Quarterly board packages generated from source data with zero manual assembly:

Executive summary: Key metrics, period-over-period comparison, forward outlook
Financial statements: P&L, balance sheet, cash flow — formatted and reconciled
Ratio analysis: Full ratio suite with trend charts and commentary
DuPont decomposition: Visual breakdown with factor attribution
Segment reporting: By entity, product line, or customer segment
Cash position: Current balances, forecasted runway, burn rate

Delivered as PDF via email draft, with raw data available via API for board portal integration.

4. Cash Flow Intelligence

Bank account data from Plaid combined with accounting data from QuickBooks produces cash flow analytics that neither source provides alone:

Cash position aggregation: All accounts in real-time
Inflow/outflow classification: Categorized by type and counterparty
Seasonal pattern detection: Statistical identification of recurring patterns
Runway projection: How long current cash sustains current burn, with confidence intervals
Anomaly alerting: Unusual transactions flagged for review
Reconciliation: Automatic matching of bank transactions to journal entries

5. Multi-Entity Financial Intelligence

For holding companies and multi-entity structures:

Entity-level P&L: Each subsidiary analyzed independently
Consolidated statements: Intercompany eliminations applied correctly
Capital allocation scoring: ROIC by entity for investment decisions
Transfer pricing visibility: Intercompany transactions surfaced and analyzed
Tax structure optimization: Entity-level tax burden comparison

6. Natural Language Financial Queries

Ask questions in plain language, get analytical answers:

"What drove the margin decline in March?" -> Factor attribution analysis
"Compare BAG profitability to BAI" -> Side-by-side DuPont decomposition
"Is our debt creating value?" -> Healy-Palepu spread analysis
"What's our cash runway at current burn?" -> Statistical projection with CI

7. Automated Variance Analysis

Period-over-period variance analysis that goes beyond "revenue was up 12%":

Revenue variance decomposed into price, volume, and mix effects
Cost variance decomposed into rate, efficiency, and volume effects
Margin variance attributed to specific business drivers
Statistical significance testing (is this variance real or noise?)
Trend-adjusted comparison (seasonal adjustment, growth normalization)

8. Continuous Delivery

Financial intelligence delivered where your team works:

Delivery Method	Content	Schedule
Teams: Daily-Briefing	Cash position, key metrics	Daily 6 AM ET
Teams: Action-Items	Anomalies, threshold breaches	Real-time
Email (draft)	Board packages, ad-hoc reports	On request
Email (automated)	Monthly summaries, quarterly packages	Scheduled
Web Dashboard	Interactive ratio explorer	Always available
API	Raw analytical data	On demand

Architecture

Financial Automation runs on the ORAC platform's financial analytics engine (chris-financial service, the financial-analytics service):

+-------------------+     +-------------------+
| QuickBooks Online |     | Plaid             |
| (OAuth 2.0)      |     | (Link API)        |
+--------+----------+     +--------+----------+
         |                         |
         v                         v
+--------+-------------------------+----------+
|              Data Sync Layer                |
|  Chart of accounts mapping                  |
|  Transaction normalization                  |
|  Bank reconciliation                        |
+---------------------+-----------------------+
                      |
                      v
+---------------------+-----------------------+
|            Analytics Engine         |
|  DuPont 5-factor computation               |
|  Healy-Palepu NOPAT analysis               |
|  Variance decomposition                     |
|  Cash flow projection                       |
|  NL query processing                        |
+---------------------+-----------------------+
                      |
         +------------+------------+
         |            |            |
    +----+----+  +----+----+  +---+----+
    | Teams   |  | Email   |  | Web    |
    | Delivery|  | Reports |  | Dash   |
    +---------+  +---------+  +--------+

Use Cases

CEOs: "What's driving my returns?" answered every morning in your Daily Briefing channel. DuPont decomposition tells you whether it's operations, efficiency, or leverage.

CFOs: Replace 80% of your monthly close analysis work. Automated ratio computation, variance analysis, and board package generation.

Board Members: Receive quarterly packages on schedule, formatted consistently, computed from source data. No more stale spreadsheets.

Investors: Healy-Palepu analysis on portfolio companies from their QuickBooks data. Know whether leverage is creating or destroying value before the founder does.

Call to Action

Your accounting data already has the answers. Stop making analysts find them manually.

See a Live Dashboard | View Financial Platform | Request Demo

Financial Automation — CFO-Grade Analytics, Automated