For CFOs and finance teams
Your team explains the numbers instead of producing them.
Geni-Finance explains your variances, runs your scenarios in minutes and produces the monthly reporting for you.
- Explains variances, not just reports them
- Models your scenarios in minutes
- Automates monthly reporting
- Monitors cash and overdue invoices
Your agent
Geni-Finance
Scenario 1 · Month-end close
Explain March's budget-vs-actual variances and group them by cause.
Four causes identified: 62% of the variance comes from product mix, 18% from a billing timing shift, the rest is volume. Summary memo drafted for the executive committee.
What changes
What Geni-Finance changes in your team's week
Today
With Geni-Finance
Today : Month-end close records variances instead of explaining them.
With Geni-Finance : Budget-to-actual variances explained and grouped by cause.
Today : Every cash scenario means a new version of the spreadsheet.
With Geni-Finance : Three scenarios modeled in minutes, from your assumptions.
Today : Reporting and overdue invoice follow-ups come last.
With Geni-Finance : The monthly report prepared, overdue invoices chased past the threshold you set.
Real-world use cases
What Geni-Finance does for your finance team
Scenario 2 · Investment decision
Model three six-month cash scenarios with these assumptions.
Three costed scenarios: cash bottoms out in August in two of the three. Two levers identified, one of which covers 80% of the need with no outside financing.
Scenario 3 · Reporting and collections
Prepare this month's reporting and chase invoices more than 60 days overdue.
Monthly reporting produced with line-by-line commentary, and eleven reminders drafted at the right level of firmness based on invoice age and customer history.
Everything Geni-Finance can do
Analysis
Variance analysis
Geni-Finance reconciles budget, actuals and history to explain each variance by its cause: price, volume, mix or timing — not just the amount.
Margin insight
Profitability by product, by customer and by site, with what's really eroding it month after month.
Consistency checks
Unusual entries, duplicate invoices, outlier amounts: anomalies are flagged before the close, not after.
Forecasting
Costed scenarios
Three assumptions, three trajectories: revenue, margin and cash, with tipping points and the levers you can pull.
Cash forecasting
Expected receipts, committed spend and seasonality: a rolling 13-week forecast, updated continuously.
Budget building
Department requests are consolidated, compared with history and challenged line by line before sign-off.
Management
Automated reporting
Monthly reporting produced and annotated: tables, variances and highlights, ready for the committee.
Collections
Receivables are prioritized by risk and amount, and reminders drafted at the right level of firmness.
Answers for department heads
“Where does my budget stand?” “Can I commit this spend?” Operational teams get their answer without pulling in finance.
Finance leadership · industrial group
“Closing the books is no longer about producing numbers but about explaining them. The committee gets its answers the same day.”
Finance leadership
manufacturing, 12 production sites
+25%
forecast reliability
-4 days
off the monthly close
13 weeks
of continuous cash visibility
Integrations
Geni-Finance works inside your tools, not next to them
No double entry: the agent reads from your ERP, your reporting tool and your spreadsheets, with access rights by entity and scope.
F.A.Q
Frequently asked questions
How long does it take to get Geni-Finance up and running?
Four to six weeks: we connect your ERP and reporting, take over your chart of accounts and management rules, then support you through a first close.
Does our financial data leave the company?
No. Hosting is in Europe, your data stays yours and is never used to train models. Access rights follow your breakdown by entity and scope.
Are the numbers reliable and verifiable?
Every amount is traced to its source in the ERP and to the calculation rule applied. The agent doesn't make estimates: it reports your data and explains the variances, and you validate.
Which AI model does it use?
Whichever fits the task: ChatGPT, Claude, Mistral or DeepSeek. The platform is model-agnostic, so you're never locked into one vendor.
How do you measure ROI?
Through actual usage: time to close, time spent on reporting, variances explained on the first pass and receivables collected, measured against the investment.
Let your team try Geni-Finance
A demo on your own numbers: we start from a real close and you judge the analysis for yourself.
