Sydney AI AASB: Cash Flow, Liquidity & Working Capital

How AI-driven finance tools help Sydney businesses meet AASB compliance while improving cash flow forecasting, liquidity management, working capital, and valuation readiness AI-powered financial strategy & AASB reporting compliance

Graham Chee
Graham CheePrincipal Advisor & Founder
FCPA
GRCP
GRCA
IAIP
IRMP
ICEP
IAAP
Published 30 December 2025
Expert Content Verification

Content reviewed and verified by Graham Chee, with 25+ years in accounting, taxation, investment management, governance, risk & compliance. Last reviewed December 2025. Next review scheduled for March 2026.

Introduction

Why this matters for your business

Sydney SMEs and mid-market firms face increasing pressure to manage cash flow, meet AASB reporting expectations, and be valuation and audit ready. AI-driven finance tools can help by connecting data from your ERP, bank feeds, invoicing, inventory, and payroll to generate accurate cash flow forecasts, liquidity dashboards, and working capital insights AI-driven accounting, tax & advisory for business owners. This article explains how AI supports compliance with AASB standards (including AASB 107, 101, 7, 9, 15, 16, 13, and 136), improves decision-making, and links cash planning with DCF valuation and tax alignment to drive sustainable growth.

Key Considerations

Essential points to understand

AASB foundations for cash and liquidity: AASB 107 guides cash flow classification and disclosures; AASB 101 covers liquidity presentation and going concern; AASB 7 requires liquidity risk and maturity analyses. AI tools should map forecasts and actuals to these requirements.

Credit, revenue, and lease impacts: Expected credit loss modeling under AASB 9 affects receivables and collections strategies; AASB 15 revenue patterns influence timing of cash receipts; AASB 16 leases impact future cash commitments and liquidity ratios.

Forecasting horizons and scenarios: Combine a weekly 13-week cash view for near-term liquidity with a 12–24 month rolling forecast for planning and valuation. Run scenarios for seasonality, pricing changes, supply constraints, and covenant headroom.

Data quality and audit trail: Reliable AI output depends on clean data from systems like Xero, MYOB, NetSuite, and POS/CRM. Maintain version control, data lineage, and clear documentation to support external audit and AASB disclosures.

Working capital levers: Use AI to segment customers for collections prioritisation, risk-score receivables, optimise reorder points and safety stock, and schedule payables to balance supplier relationships with cash conservation.

Valuation and impairment alignment: Calibrate DCF models with management cash forecasts to support AASB 13 fair value and AASB 136 impairment testing. Align tax assumptions (AASB 112) and ensure consistency between budgeting, forecasting, and valuation cases.

Practical Application

How this works in real businesses

Wholesale and distribution: An AI tool ingests sales orders, backorders, supplier lead times, and price lists to forecast receipts and payments. It flags slow-moving SKUs and recommends reorder points to release cash from inventory. Liquidity dashboards produce AASB 7-style maturity analyses and covenant monitors.

Construction and trades: Progress billing, variations, and retentions complicate cash timing. AI models trained on historical claim approvals, dispute rates, and site schedules improve receipt timing, while AASB 15 revenue patterns are mapped to cash inflows. Lease obligations for equipment (AASB 16) are integrated into funding plans and 13-week cash views.

Professional services and technology: Project-based revenue and hybrid billing cycles are modelled to predict unbilled WIP and cash conversion. AI-driven collections prioritisation uses client risk signals from CRM activity and payment patterns, supporting AASB 9 loss allowance estimates and improving cash predictability.

Hospitality and retail: Seasonality, roster costs, and inventory spoilage are captured in probabilistic forecasts. Daily bank feeds reconcile to POS data to refine short-term liquidity views. The model produces clean classifications for AASB 107 cash flow statements and supports dynamic price, promo, and staffing scenarios.

Valuation and audit readiness: Management cash forecasts feed a DCF model with explicit links to working capital, capex, and lease payments. Assumptions are documented, traceable to source data, and benchmarked, aiding AASB 13/136 analysis. Deferred tax impacts (AASB 112) are reflected in free cash flow and reconciliation workpapers for audit.

Recommended Steps

A structured approach

1

Assess

Map AASB compliance needs (107, 101, 7, 9, 15, 16, 13, 136), identify cash and working capital pain points, review covenants, and run a quick data quality scan across ERP, bank feeds, AP/AR, inventory, payroll, and CRM.

2

Plan

Define forecasting horizons (13-week and 12–24 months), key scenarios, and reporting outputs. Select AI tools, design a data model, and specify governance: version control, approvals, model documentation, and audit trail.

3

Implement

Connect data sources, build forecasting and working capital models, configure AASB cash flow classifications, set up ECL logic for receivables, incorporate leases and tax effects, and deploy dashboards with alerts for variances and covenant headroom.

4

Review

Run monthly forecast-vs-actuals and scenario refreshes, validate model performance, update valuation and impairment analyses, and produce audit-ready packs with assumptions, reconciliations, and governance logs.

Common Questions

What business owners ask us

Q.Will AI-based forecasts satisfy auditors and AASB requirements?

Yes, provided the models are governed. Maintain clear documentation of methods, data sources, and assumptions; ensure classifications align to AASB 107/101; keep versioned outputs, variance analyses, and override logs. Auditors look for consistency, transparency, and traceability.

Q.What data do we need and how often should we refresh?

Core inputs include GL, AR/AP, bank feeds, invoicing, inventory, payroll, and CRM or project data. Many businesses refresh daily for bank and transactions, weekly for 13-week cash, and monthly for the rolling 12–24 month plan.

Q.How do we align DCF valuation with our cash forecasts and impairment testing?

Start with the management cash forecast used for operations, then calibrate valuation assumptions (growth, margins, WACC) and ensure consistency with AASB 13 fair value and AASB 136 impairment guidance. Bridge working capital, leases, capex, and tax effects (AASB 112) from forecast to DCF.

Q.Can AI help with collections and expected credit losses?

Yes. Models can risk-score customers, suggest collection priorities, and estimate lifetime expected credit losses under AASB 9. These insights inform both cash planning and receivables provisioning policies.

Q.What about data security and privacy for Australian businesses?

Select platforms with Australian data hosting options, strong encryption, role-based access, SSO/MFA, and certifications such as ISO 27001 or SOC 2. Ensure processes align with the Australian Privacy Principles and your internal IT policies.

Conclusion

Move from compliance pressure to confident decisions

AI-driven forecasting and working capital tools can strengthen cash discipline, support AASB reporting, and connect operational planning to valuation and tax. With solid governance and clear documentation, you gain reliable insights for board, lender, and audit discussions.

If you would like guidance tailored to your industry and systems, speak with an advisor. Contact our team to review your current processes, identify quick wins, and design a roadmap aligned to AASB compliance and growth.

About the Author

Graham Chee

Graham Chee, FCPA, GRCP, GRCA, IAIP, IRMP, ICEP, IAAP

Principal Advisor & Founder

Graham Chee is a highly qualified business advisor with over 25 years of professional experience spanning accounting, taxation, investment management, governance, risk, and compliance. As a Fellow of CPA Australia (FCPA), Graham brings deep technical expertise combined with practical business acumen. His qualifications include Governance Risk and Compliance Professional (GRCP), Governance Risk and Compliance Auditor (GRCA), Integrated Artificial Intelligence Professional (IAIP), Integrated Risk Management Professional (IRMP), Integrated Compliance and Ethics Professional (ICEP), and Integrated Audit and Assurance Professional (IAAP). Graham has advised hundreds of Australian SMEs on strategic planning, succession, business valuation, and compliance matters, helping business owners build sustainable, valuable enterprises.

Areas of Expertise:

Strategic Business Advisory
Taxation Planning & Compliance
Business Valuation
Succession Planning
Investment Management
Governance & Risk
Regulatory Compliance
Financial Reporting
Experience: 25+ years in accounting, taxation, investment management, governance, risk & compliance

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