An AI-powered finance office built on your existing ERP and accounting stack. Board packs, 13-week cash-flow forecasts, and month-end close, drafted by AI and signed off by your team. The numbers are ready before the meeting, not during it.
The board pack is always late. The cash forecast lives in a spreadsheet that one person maintains. Variance commentary gets written at midnight before the board meeting. FP&A scenarios take a week to model because all the assumptions are buried in cells nobody else can find.
That is the problem this service is designed to fix. Not by replacing finance judgment, but by removing the assembly work so the people with judgment have time to use it. The AI handles the data gathering, the draft narratives, the forecast refreshes, and the close checklist. Your team handles the review, the interpretation, and the decisions.
No new software to buy. No ERP migration. We connect to what you already run and build the finance layer on top of it.
Read-only connections to your ERP, accounting platform, payroll system, bank feeds, and any spreadsheets your team relies on. Nothing is moved or replaced.
Chart of accounts mapping, KPI definitions, forecast logic, and close checklist structure, agreed with your finance team before any automation runs.
Monthly reporting and board pack drafts, 13-week cash forecast refresh, close checklist orchestration, and variance commentary drafts are generated automatically on your cycle.
Your team reviews every AI draft, edits what needs editing, and signs off. The AI learns from corrections and improves month over month. The board receives work your team has approved, not raw AI output.
You can start with one module and add the others as the data foundations are in place. Most clients begin with reporting and cash, then add close automation and FP&A.
Monthly KPI pack and board report drafted automatically from your ERP and accounting data. Narrative commentary, variance analysis, and period comparisons included. Your team edits and approves before it goes anywhere.
A rolling direct cash forecast updated from your bank feeds, accounts receivable, and accounts payable data. Low-point flagged. Scenario branches for planned large payments or receipts. Refreshed automatically on your cadence.
Close checklist orchestrated automatically: reconciliation prep, intercompany matching, accrual reminders, and variance commentary drafts for each P&L line. Day-5 close is achievable once the process runs cleanly.
What-if models for hiring decisions, pricing changes, churn scenarios, and revenue mixes. Assumptions tracked and versioned so the board can see exactly what changed between the March plan and the June reforecast.
Ask plain-language questions over your own financial data: which customers are driving the margin change, what is the cash impact of delaying that hire by one quarter, how does Q2 track against the original plan. Answers are grounded in your ledger records, not guessed.
Want the depth? How each module works, the data foundations required, the governance model, and the full engagement structure are laid out in the complete AI CFO Office guide.
The AI drafts the commentary for each month. Your finance team reviews the bullets, adjusts the framing where needed, and approves. Nothing goes to the board unsigned.
The card on the right is illustrative of the format. Actual commentary is generated from your own figures.
• Revenue came in 4.2% above plan, driven by faster-than-projected onboarding of two enterprise accounts in the last week of the month. The timing benefit is unlikely to repeat in June. (draft for review)
• Gross margin at 61.3% is 1.1 points below plan. The shortfall tracks to higher-than-budgeted third-party API costs on the new product tier. A pricing review is scheduled for Q3. (draft for review)
• Cash position is in line with forecast. The 13-week low point falls in week 8, corresponding to the scheduled VAT payment and the quarterly payroll run. No liquidity action required at this time. (draft for review)
The service works for any company with a real finance function to support. These are the situations where the gap between available finance capacity and reporting demand is sharpest:
| Company type | The problem it solves |
|---|---|
| Founder-led companies without a dedicated finance team | The founder or a part-time accountant spends days each month on board prep. The AI handles the assembly so they spend hours instead. |
| CFOs managing lean teams | A CFO with two or three analysts is responsible for reporting that would normally need twice that. The AI extends the team without adding headcount. |
| PE-backed or investor-backed companies with heavy reporting cadence | Monthly board packs, lender reports, and covenant calculations are non-negotiable. The AI keeps the cadence without burning the team. |
| Multi-entity businesses with consolidation complexity | Intercompany eliminations, multi-currency consolidation, and entity-level vs group-level reporting are time-consuming by hand. Automation runs them on schedule. |
Every engagement starts with an assessment so we understand your data landscape and reporting requirements before quoting anything. Pricing is set after the assessment because the right scope depends on what you run and what you need.
The AI CFO Office draws on the same data pipeline and analytics engineering work that runs across our project portfolio. A few examples of the underlying craft:
Tell us your work email and which part of finance is costing you the most time. We reply within 24 hours to set up a conversation about what your reporting and forecasting landscape looks like and what an engagement would cover.
Two fields. We reply within 24 hours.
A finance ops assessment to map your data landscape and show you exactly what the AI CFO Office would automate in your specific setup.
Get a finance ops assessment