Bases de donnéesConnectez n'importe quelle base de données et analysez vos données instantanément·FichiersImportez des fichiers CSV ou Excel et explorez-les avec l'IA·ChatPosez vos questions en langage naturel — dialoguez avec vos données·Tableaux de bordCréez des dashboards interactifs à partir de vos requêtes en quelques secondes·IALaissez l'IA écrire le SQL à votre place·GraphiquesVisualisez les tendances avec des graphiques générés automatiquement·No-codeAucune connaissance SQL requise — demandez simplement en français·PartagePartagez vos dashboards en direct avec votre équipe en un clic·InsightsDétectez automatiquement les tendances et anomalies cachées dans vos données·ExportsTéléchargez vos résultats en CSV, Excel ou PNG instantanément·Bases de donnéesConnectez n'importe quelle base de données et analysez vos données instantanément·FichiersImportez des fichiers CSV ou Excel et explorez-les avec l'IA·ChatPosez vos questions en langage naturel — dialoguez avec vos données·Tableaux de bordCréez des dashboards interactifs à partir de vos requêtes en quelques secondes·IALaissez l'IA écrire le SQL à votre place·GraphiquesVisualisez les tendances avec des graphiques générés automatiquement·No-codeAucune connaissance SQL requise — demandez simplement en français·PartagePartagez vos dashboards en direct avec votre équipe en un clic·InsightsDétectez automatiquement les tendances et anomalies cachées dans vos données·ExportsTéléchargez vos résultats en CSV, Excel ou PNG instantanément·
AnalityQa
FonctionnalitésPar métierTarifsOutilsBlog
ConnexionCommencer
Blog›Finance / FP&A

AI-Powered Cash Flow Forecasting for Finance Teams

Connect your accounting system or upload a trial balance CSV. Ask AnalityQa AI for a 13-week cash forecast, a scenario comparison, or an AR aging breakdown — and get a board-ready chart in seconds.

Try AnalityQa AI AI free →See live examples
Finance team analyzing charts

The problem

  • →Building a 13-week cash forecast requires pulling data from the ERP, the bank, and the AR aging report — then manually stitching them together in Excel.
  • →Scenario planning (base / bear / bull) means maintaining three separate model tabs that drift out of sync the moment actuals change.
  • →AR aging analysis is trapped in a static export that finance re-runs manually, so leadership is always looking at stale numbers.
  • →Runway calculations change every time headcount or vendor costs shift, but the model is rarely updated between board meetings.

Why the usual approach breaks down

ERP exports are clunky and inconsistent

NetSuite, QuickBooks, and Xero each export cash data in different formats. Finance teams spend hours normalizing column names, date formats, and chart-of-accounts mappings before any analysis can begin.

Excel models break at scale

A 13-week cash model with actuals-to-date, a rolling forecast, and three scenarios quickly becomes a multi-tab workbook that breaks when someone sorts a column or pastes over a formula.

Scenario updates are manual

Changing a key assumption — say, a 20% drop in collections — requires editing dozens of linked cells. Most teams stop at one scenario because maintaining three is too expensive.

Board decks require a full rebuild each cycle

Charts exported from Excel or Google Sheets need manual formatting for every board package. A single data revision means recreating the chart from scratch.

How AnalityQa AI AI solves it

Upload your data — or connect it live — and ask in plain English.

01

Connect your accounting system or upload a CSV

AnalityQa AI connects directly to NetSuite, QuickBooks, and Xero, or accepts a trial balance / GL export as a CSV or Excel file. No ETL pipeline required — data is ready for analysis in minutes.

02

Ask for your forecast in plain language

Type 'Show me a rolling 13-week cash forecast starting this Monday' and AnalityQa AI builds the projection automatically, using your actuals as the anchor and your historical collection rates as the default assumption.

03

Auto-join actuals with budget

AnalityQa AI detects budget and actuals files automatically and joins them on account code and period — so every forecast shows variance without a VLOOKUP in sight.

04

Run scenario comparisons instantly

Ask 'What does runway look like if collections slow by 15%?' and AnalityQa AI recalculates the bear case alongside the base case in the same chart, with assumptions listed below.

05

Export board-ready charts and tables

Every chart and table can be exported as a high-resolution PNG or a formatted Excel file that matches your board template — no manual reformatting required.

You askedGenerated in 4.2s

"Build a 13-week cash forecast starting April 21, using last quarter's collection rates."

Revenue

€1.42M+12.4%

Gross margin

58.2%+1.8pp

Burn rate

€84k/mo−6.1%

Waterfall chart showing weekly opening cash, inflows, outflows, and closing balance with a runway indicator at the bottom.

Last 12 mo

Stacked bar chart of AR aging buckets (current, 1-30, 31-60, 61-90, 90+) plus a sortable table of overdue invoices.

Three-line chart overlaying base, bear, and bull closing cash balances week by week, with an assumption table beneath each scenario.

A dashboard built in AnalityQa AI — from question to chart, no SQL.

Real examples

Paste your data. Ask. Ship.

You

Build a 13-week cash forecast starting April 21, using last quarter's collection rates.

AI

AnalityQa AI reads your AR aging export and GL, calculates a weighted average collection rate by customer tier, and projects weekly inflows and outflows for 13 weeks.

Waterfall chart showing weekly opening cash, inflows, outflows, and closing balance with a runway indicator at the bottom.
You

Break down AR aging by customer segment and flag anything overdue by more than 60 days.

AI

AnalityQa AI groups receivables by customer segment and aging bucket, then surfaces every invoice past 60 days with the customer name, amount, and days outstanding.

Stacked bar chart of AR aging buckets (current, 1-30, 31-60, 61-90, 90+) plus a sortable table of overdue invoices.
You

Compare base, bear, and bull cash scenarios for the next 90 days.

AI

AnalityQa AI runs three projections: base uses current collection rates, bear assumes a 20% slowdown in inflows and a 10% cost increase, bull assumes a 15% acceleration in collections.

Three-line chart overlaying base, bear, and bull closing cash balances week by week, with an assumption table beneath each scenario.
You

What is our current runway at the current burn rate?

AI

AnalityQa AI calculates average monthly net cash burn over the trailing three months and divides current cash balance by that figure.

Single-metric card showing runway in months, with a trend line of monthly burn rate and the exact calculation shown.

What teams get out of it

✓Finance teams cut weekly cash reporting from half a day to under 15 minutes.
✓Scenario planning that previously required a full model rebuild now takes a single follow-up question.
✓AR aging reviews shift from monthly to real-time, reducing days sales outstanding.
✓Board cash slides are generated directly from the tool, eliminating manual chart reformatting.

Frequently asked questions

Does AnalityQa AI connect directly to NetSuite or QuickBooks?+

Yes. AnalityQa AI has native connectors for NetSuite, QuickBooks Online, and Xero. You authenticate once and data syncs automatically. For on-premise ERP systems, you can export a standard GL or trial balance CSV and upload it directly.

How does AnalityQa AI handle scenario assumptions?+

You can define assumptions in plain language — for example, 'assume collections slow by 20% in the bear case.' AnalityQa AI applies the assumption to the relevant line items and shows you exactly which inputs changed, so the logic is auditable.

Is there an audit trail for SOX compliance?+

Every query, data source, and output is logged with a timestamp and the user who ran it. Exports include a data-lineage footnote showing the source file or connector, query date, and any assumptions applied.

How is our financial data secured?+

Data is encrypted in transit and at rest. Each workspace is fully isolated — no data is shared across customers or used to train models.

Can multiple team members collaborate on the same forecast?+

Yes. Dashboards and chat threads are shared within a workspace. You can share a specific chart or scenario with a link, and colleagues see the same underlying data without needing to re-run the query.

What file formats are supported for upload?+

AnalityQa AI accepts CSV, XLSX, and XLS files. For database connections, PostgreSQL, MySQL, and Google Sheets are supported in addition to the accounting system connectors.

How is AnalityQa AI priced?+

Pricing is based on workspace size and connector count, not query volume. There is no per-seat charge for view-only users. Contact the team for a quote tailored to your organization's data sources.

Related guides

Finance / FP&A

AI-Generated Financial KPI Dashboards for Finance Teams

Finance / FP&A

AI-Powered Budget vs Actuals Analysis for FP&A Teams

Your data has answers. Start asking.

Upload a file or connect your database. Your first dashboard, in under 5 minutes.

Try AnalityQa AI AI free →

No credit card required

AnalityQa

Le workspace tout-en-un pour les data analysts et engineers.

Produit

  • Fonctionnalités
  • Tarifs
  • Blog
  • Outils gratuits

Société

  • À propos
  • Contact

Légal

  • Confidentialité
  • CGU

© 2026 AnalityQa AI. Tous droits réservés.

Tous les systèmes opérationnels