Meet Kauane — your AI FP&A analyst who answers the question your board hasn't asked yet.
From budget vs. actual to the board deck — Kauane turns the data from her five teammates into a boardroom decision. She connects Kevin's cash, Klaus's payroll, Kelly's AP and Karin's receivables into the full picture none of them has alone.
Reporting cycle from 14 to 2-3 days and time-to-insight from 4 hours to 40 seconds.
A number without a why is half the job.
From spreadsheet to narrative
Kauane doesn't just hand you the number — she hands you the why: “margin dropped 2 p.p. and 80% of that is freight from the new region.” Conclusion first, reasoning after.
Scenarios before you ask
What if Selic drops 2 points? What if the anchor customer leaves? Kauane provokes the “what if?” and runs the simulation with explicit assumptions and a confidence level.
Board deck in minutes
From 4-6 hours building slides to ~30 minutes. Executive narrative, chosen charts and quarter-to-quarter consistency — ready for the board.
The full picture
She's the heaviest reader of Kortex: she pulls cash, payroll, AP and receivables from her teammates and returns the whole view no single agent sees.
All of FP&A, with thesis and evidence.
Budget and tracking
- Annual budget build and review
- Budget vs. actual by cost center
- Rolling P&L forecast
- Monthly re-forecast with narrative
Variance analysis
- Price × mix × volume decomposition
- Root cause with drill-down into entries
- Executive commentary in your template
- Compare against budget, forecast and prior year
Scenarios and simulations
- “What if?” modeling (base, optimistic, stress)
- Sensitivity to Selic, FX and churn
- Impact of hires and investments
- Explicit assumptions and confidence level
Unit economics and profitability
- Margin by customer, product and channel
- CAC, LTV, payback and cohorts
- Indirect cost allocation
- Margin erosion detection
KPIs and dashboards
- Executive KPI refresh
- Conversational dashboards
- Anomaly detection (“MRR dropped 3% this week”)
- Automated recurring reports
Board deck and narrative
- Monthly board deck assembly
- Executive storytelling (chart and title choice)
- Board narrative with quarterly consistency
- MBR and earnings-review material
Multi-entity consolidation
- Consolidation across entities and currencies
- Conversion via PTAX Bacen
- Intercompany elimination with rationale
- Timing-difference handling
Applied macro
- Reading Selic, FX and IGP-M into planning
- Macro impact on revenue and cost assumptions
- Interest-rate and inflation scenarios
- Translating Bacen minutes into the plan
From contract to Kauane running in 1 business day.
- 01Connect ERP and BI (30 min)
ERP GL (SAP, TOTVS, Oracle, Senior, Sankhya), BI (Power BI, Tableau, Looker, Metabase) and your budget spreadsheets.
- 02Upload the budget (1h)
Approved budget, assumptions, chart of accounts, cost-center structure and the multi-entity corporate structure.
- 03Kauane connects the teammates (automatic)
She pulls Kevin's cash, Klaus's payroll, Kelly's AP and Karin's receivables via Kortex. No re-explaining anything.
- 04Define the templates (1h)
Board deck templates, board KPIs and targets, closing calendar.
- 05First month-end — you review
Kauane delivers the first variance and the first deck. You review the narrative before it goes to the board.
- 06From month 2 — analysis ahead of time
She learns your cadence and shows up with the read ready before the meeting. You decide; she backs it.
Where Kauane pulls data from and where she delivers insight.
What changes in FP&A day-to-day.
| Task | Before (manual) | With Kauane |
|---|---|---|
| Variance analysis | 4 hours | 40 seconds |
| Monthly board deck | 4-6 hours | 30 minutes |
| Reporting cycle | 14 days | 2-3 days |
| Multi-entity consolidation | 5-12 days | 2-5 days |
| “What if?” scenario | Days in a spreadsheet | Minutes |
| P&L forecast | 60-70% accuracy | +25-40% accuracy |
The context that lets Kauane see the whole.
- Approved budget and assumptions
- Chart of accounts and cost centers
- Multi-entity corporate structure
- Board KPIs and targets
- Board deck templates
- Closing calendar
- Variance history and explanations
Every explanation you validate teaches Kauane. Was that freight variance a one-off or a trend? She remembers — and adjusts next month's read.
A month-end with Kauane at a company with R$ 500M in revenue.
- Day 1, 08:00
Accounting close is in. Kauane has already cross-read Kevin's cash, Klaus's payroll, Kelly's AP and Karin's receivables. She sends on WhatsApp: “Margin dropped 2.1 p.p. this month — want the why?”
- Day 1, 09:30
Conclusion first: three causes — Northeast freight (1.6 p.p.), more-retail mix (0.4) and a CCT adjustment Klaus mapped (0.1). The first is addressable; she prepared two options.
- Day 1, 14:00
CFO asks: “can we fit 4 hires?” Kauane runs the scenario: “Yes — headcount is 6% under budget and Q3 revenue is up 3%. Assumptions: stable churn, FX up to 5.40. Want the stress case?”
- Day 2, 10:00
Consolidation of the 3 entities is done, intercompany eliminated with rationale. PTAX applied. Residual differences explained.
- Day 2, 16:00
Board deck assembled: executive narrative, chosen charts, consistent with the quarter. Kauane hands it to Kadu to deliver in the board channel.
- Day 3
Board meeting. The margin question was already answered on slide 4 — before it was asked.
What our customers are measuring.
A projection isn't a certainty. And Kauane says so.
- Every projection comes with explicit assumptions
- Probable range instead of a magic number
- Declared confidence level (“probable scenario, 80%”)
- Audit trail of assumptions and sources
- Every analysis closes with a recommendation — never loose data
Frequently asked questions.
Does Kauane replace Kadu?+
No. Kadu is the interface — he talks and delivers. Kauane builds the analysis behind it. He asks Kauane to open the variance and returns the summary on WhatsApp.
Where does Kauane's data come from?+
From the five teammates via Kortex (Kevin's cash, Klaus's payroll, Kelly's AP, Karin's receivables) plus your ERP, BI and EPM.
Does it work with Anaplan / Oracle EPM?+
Yes, as a data source and analysis destination. Kauane runs on top, she doesn't replace your EPM.
Does Kauane make up numbers?+
No. Every projection comes with explicit assumptions and a confidence level. She prefers a “probable range” to a magic number — and shows the source.
Does she do multi-entity consolidation?+
Yes — multiple entities and currencies, PTAX conversion, intercompany elimination with rationale.
Are Kauane's operations metered?+
Each analysis, consolidation and board deck counts as one operation on your plan.
Ready to have the analysis before the question?
Book a chat and see Kauane building variance, scenarios and the board deck with your own numbers.