Automation by department

Finance Automation with AI

The finance department is responsible for the company's financial health. Yet so much of their time goes to consolidating spreadsheets, monthly close, and reconciliation between systems. Here's what to automate so the CFO and controllers can focus on strategy.

Common challenges

Monthly close taking 5-10 business days

Forecasting in Excel with formula bugs and stale data

Manual consolidation of data from 3-5 systems (ERP, payroll, banking)

Stressful audit prep — documents scattered everywhere

Dashboard for CEO/board generated by hand monthly

What can be automated

Auto-consolidated P&L and balance sheet

Data from ERP, payroll, banking aggregated automatically. Monthly report ready on day 1, not day 10.

Cash-flow forecasting

Predictive model from history + outstanding invoices + scheduled payments. 30/60/90-day visibility, refreshed daily.

Live CEO/board dashboard

Key metrics (revenue, costs, margin, runway) in real time. Direct access, no need to request a report.

Audit prep automation

All supporting documents categorized chronologically with full traceability. Audit becomes a check, not a hunt.

Anomaly detection

System flags atypical expenses, duplicate invoices, budget discrepancies — before they become problems.

Budget vs actual reporting

Per-department comparison, automatic and weekly. Managers see where they stand without asking for an Excel.

Common tools

ERP: SAP, NetSuite, Oracle, QuickBooks, XeroBI: Looker Studio, Metabase, Power BI, TableauOpenAI / Claude for analysis and narrativeOpen Banking (Plaid, Tink) for auto-reconciliationCustom orchestration for end-to-end integration

When to build custom

Build custom for multi-entity, multi-currency operations or specific audit requirements (SOX, Big4, IFRS). For SMB with a single ERP, standard integrations are enough.

Frequently asked questions

How much faster does monthly close get? +

Typically 5-10 days → 1-2 days. Many reports can be ready the day after month end.

Do we keep control over our data? +

Yes. All data stays in your systems (ERP, banking). The automation layer aggregates and presents — never duplicates or stores.

What's a realistic ROI? +

For a 3-5 person finance team, typically 1 FTE freed up from reporting/consolidation. That time redirects to strategic analysis and business partnering.

Can AI predict cash flow accurately? +

30-60 days with 90%+ accuracy from history. Beyond that, the model gives estimates with confidence intervals — useful for planning, not as ground truth.

How does it handle multi-currency? +

Live FX rates, hedging position tracking, FX-impact attribution on margin reporting. Standard for any client with cross-border revenue.

Related case study /#/case/hr-payslip-review-automation →

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