Claude Code for Finance & Ops: Automate the Spreadsheets That Eat Your Week

Every finance person has the same Monday: open 6 tabs (Stripe, QuickBooks, bank portal, HR tool, spreadsheet, email), spend 3 hours pulling numbers into a report that someone glances at for 90 seconds.

Claude Code builds scripts that do the pulling, reconciling, and reporting automatically. You review the output instead of building it.

Use Case 1: Automated Monthly Close Report

Build a monthly close automation:

Data sources:
1. Stripe API: MRR, new subs, churn, expansion, refunds, failed payments
2. QuickBooks: expenses by category, AR, AP
3. Payroll CSV from Gusto: total payroll, headcount, cost per department
4. Bank CSV from Mercury: cash balance, inflows/outflows

Generate:
1. P&L summary with MoM changes ($ and %)
2. Cash flow: starting balance, ins, outs, ending, runway calculation
3. SaaS metrics: MRR, ARR, NRR, churn, ARPU, LTV, CAC, LTV:CAC, payback, Rule of 40
4. Variance analysis: compare actuals to budget, flag >10% off

Output: executive summary, HTML report (board-quality), CSV export, Slack summary.

Time saved: 2-3 days → 30 minutes of review.

Use Case 2: Revenue Reconciliation

Stripe says $152,430. QuickBooks says $149,877. Bank shows $148,203. Where's the difference?

Build a reconciliation tool:

Match Stripe charges to QuickBooks by amount/date (±2 days tolerance).
Match Stripe payouts to bank deposits.
Account for: processing fees, refunds, pending payouts, currency conversion, tax.

Output: matched transactions, unmatched per source, timing differences,
true discrepancies needing investigation.

Use Case 3: Expense Analysis and Anomaly Detection

Monthly:
1. Categorize all expenses (software, payroll, marketing, infra, etc.)
2. Anomaly detection: flag categories >25% MoM increase, single transactions 2x category average, new vendors, duplicate payments
3. SaaS spend analysis: every tool we pay for, cost trend, overlapping tools, unused tools (no logins 30 days)
4. Per-employee cost breakdown vs benchmarks

Output: summary, HTML report, anomaly alerts to Slack.

Use Case 4: Investor Report Generation

Generate quarterly investor report:

Page 1 — Dashboard: ARR, NRR, customer count, gross margin, cash, runway
Page 2 — Revenue: MRR waterfall, by plan, by segment, cohort retention heatmap
Page 3 — Growth: new customers chart, channel breakdown, pipeline
Page 4 — Financial: condensed P&L, cash flow, burn rate
Page 5 — Appendix: full P&L, key customer wins

Output as PDF-ready HTML. Template reusable — just run with different dates.

Use Case 5: Scenario Planning

From config file with current MRR, growth rate, margin, opex, cash:

Project 3 scenarios (12 months):
1. Base case: current growth continues
2. Optimistic: growth accelerates to 15% MoM
3. Conservative: growth slows to 8% MoM

For each: monthly MRR/ARR, revenue, expenses, burn, cash, runway, headcount needed.
Compare: when do we hit $1M MRR? Run out of cash? Reach profitability?
Sensitivity analysis: what growth rate to avoid raising again?

Interactive HTML dashboard with all scenarios overlaid.

Why Finance People Specifically Benefit

Finance judgment is extremely high-value but trapped behind hours of manual data work. A CFO's real value is interpreting numbers, spotting risks, advising on strategy. None of that can be automated.

What CAN be automated: pulling data from 6 tools, formatting reports, reconciliation, calculating metrics. Claude Code handles all of it.

If you're in finance or ops, join AI Builder Club. We have finance people, founders, and engineers sharing real automation setups.