AI Cash Flow Forecasting: Xero, MYOB, Fathom, Float, Calxa

AI cash flow forecasting predicts when money will actually arrive and leave by learning how each customer really pays, adding seasonality and known events, and modelling scenarios weeks ahead. Australian finance teams usually run it on top of Xero or MYOB with tools such as Fathom, Calxa or Float, or a custom model across several entities, with the CFO reviewing assumptions.

A forecast built in a spreadsheet goes stale the moment it is finished, and it assumes customers pay on terms. They often do not. For example, a construction group can be solvent on paper, with large progress claims outstanding, and still face a tight payroll week because three clients stretched from 30 to 45 days and a major claim is stuck in someone's approval queue. Visibility, not solvency, is the problem.

This guide is for CFOs, finance managers and controllers at mid-sized and enterprise Australian organisations in construction, manufacturing, logistics, professional services and field services, often across several entities.

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What does AI cash flow forecasting actually do?

How does it learn customer payment behaviour?

Your accounting system records 30-day terms. AI looks at what actually happens. For a given customer it might learn that:

• the last 12 invoices averaged 47 days
• they pay faster at their financial year end
• larger invoices take longer, as they need extra approval
• payments cluster on particular weekdays.

The forecast then uses 45 to 50 days for that customer instead of 30. For example, a logistics business may find one major customer averaging over 60 days despite 30-day terms. Each invoice arrives "eventually", so nobody notices until the pattern is surfaced.

How does it handle seasonality and events?

Good models add holiday slowdowns, EOFY patterns, government budget cycles, BAS and payroll tax dates, PAYG and super payment dates, and your own tight months. For example, a manufacturer may find its squeezes line up with its largest customer's quarter end, when that customer delays payments to flatter its own cash. Invoicing earlier in the quarter fixes it.

What scenarios can it model?

• "What if our three largest invoices are each 14 days late?"
• "What if we extend supplier terms to 45 days?"
• "Can we absorb a 15 per cent revenue drop next quarter?"
• "What does this 60-day government contract do to cash in month three?"

Xero's Analytics Plus offers cash flow projections and scenarios up to 180 days out. For a professional services firm weighing a large 60-day-terms contract, scenario modelling might show a shortfall in month three, which supports negotiating an upfront payment and aligning subcontractor payments.

1. 1ConnectAccounting, bank feeds, payroll, AR and AP
2. 2LearnActual payment timing per customer and supplier
3. 3Add EventsSeasonality, tax dates, known contracts
4. 4Forecast13-week and longer views by entity
5. 5ReviewCFO adjusts assumptions and acts

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Float vs Calxa vs Fathom: which cash flow tool fits?

Check each vendor's current integrations and plans before deciding.

Float vs Calxa in short: choose Float for a simple, visual cash timeline on Xero that non-finance managers can read. Choose Calxa if you run MYOB, need integrated budgets with balance sheet and cash, or want consolidations.

None of these learns per-customer payment behaviour deeply on its own. Many mid-sized groups pair one of them with a model that predicts receipt dates from history and feeds the forecast.

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How do you push data to Fathom from MYOB?

Fathom connects to MYOB through its built-in integration rather than by exporting files.

1. In Fathom, add a new company and choose MYOB as the data source.
2. Sign in with your MYOB credentials and authorise Fathom's access.
3. Select the MYOB company file to connect. It must be an online (cloud) company file; desktop-only AccountRight files need to be moved online first.
4. Choose the history to import, map any accounts Fathom flags, and let the initial sync run.
5. Fathom then refreshes from MYOB on sync, so changes in MYOB flow through.

For groups, connect each entity's file and build a consolidation in Fathom. If you need data Fathom does not import (for example, job costing or operational data), a custom connection can push it into a reporting layer alongside. Check Fathom's current help documentation for MYOB-specific steps, as product versions change. Our guide to consolidating multiple Xero organisations covers similar multi-entity issues.

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What do Xero and MYOB offer natively?

Xero: short-term cash flow projections, Analytics Plus with projections and scenarios up to 180 days, predicted recurring transactions, and the JAX assistant for natural-language questions, which is still maturing.

MYOB: has focused AI on workflow: improved receipt capture that extracts GST, supplier and line items, and AI-assisted transaction categorisation. For dedicated forecasting, add Calxa, Fathom or a custom model. MYOB Acumatica users have more planning capability built in.

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How accurate is AI cash flow forecasting?

Accuracy depends on data quality, customer concentration and how far out you look. Short horizons (one to four weeks) are far more reliable than six months. Measure your own baseline: compare last quarter's spreadsheet forecast with actuals, then track the AI forecast the same way by week and horizon.

1. Month 1Connect and LearnConnect systems and bank feeds, clean data, frequent manual adjustments
2. Month 2Patterns EmergeCustomer payment behaviour learned; first useful early warnings
3. Month 3Decision-GradeForecast tracked against actuals and trusted for decisions
4. Month 4+RefineCorrections and new events keep improving the model

• Forecast vs actual cash, by week and horizonTracked weekly
• Hours spent building forecasts each monthBaseline vs now
• Debtor days for the top 20 customersBaseline vs now
• Shortfalls flagged more than four weeks aheadCount them

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What mistakes should finance teams avoid?

1. Ignoring data quality. Merge duplicate contacts, reconcile bank accounts and tidy the chart of accounts first.
2. Judging too early. Give it around 90 days; the first month is learning.
3. Not feeding back corrections. Confirm or adjust predicted dates so the model learns.
4. Handing decisions to the model. It can show a shortfall in week eight. It cannot know your bank will extend an overdraft. The CFO decides.

What best describes your finance setup?

• One entity on Xero, want a simple visual cash viewXero Analytics Plus or Float
• MYOB, need budgets and integrated cash flowCalxa or Fathom connected to MYOB
• Several entities, board reporting neededFathom or Calxa consolidations
• Several entities on mixed systems, receipt timing is the problemCustom payment-behaviour model feeding your reporting layer

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How do you get started with AI cash flow forecasting?

1. Clean your accounting data.
2. Use what your platform already includes before buying more.
3. Add Calxa, Fathom or Float if you need more modelling.
4. Commit to 90 days and judge at month three.
5. Correct predictions as they happen.
6. Act on the warnings: chase the stuck invoice, renegotiate terms, arrange facilities early.

For example, after a near miss the construction group above sets up forecasting. Months later it flags a tightening eight weeks out, with customers stretching again and a large claim at risk. This time the finance team chases the claim immediately, agrees extended terms with two suppliers and arranges a standby facility. The squeeze never arrives.

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How Solve8 can help

Our consultants and engineers connect Xero, MYOB, payroll and bank data across entities, build payment-behaviour models, and feed forecasts into the reporting your board uses, with your finance team reviewing every assumption. See our data, BI and analytics service, or contact us to scope the first phase.