Use AI to streamline AASB reporting, optimise tax planning, and enhance business valuation MyMoney Financial — tax planning & AASB reporting insights

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.
Why this matters for your business
Sydney-based businesses face increasing complexity in financial reporting and regulation. The Australian Accounting Standards Board (AASB), aligned with IFRS, sets principles that drive how you recognise revenue, account for leases, measure financial instruments, and present tax effects. AI-powered solutions can help you automate data capture, apply standards consistently, create audit-ready documentation, and connect reporting to strategic decision-making AI‑Powered Financial & IP Strategy for Growth & Compliance. In this article, you will learn the key concepts, practical applications, and a structured approach to use AI for better AASB compliance, smarter tax planning, and stronger growth and valuation.
Essential points to understand
AASB areas where AI helps most: Standards like AASB 15 (Revenue), AASB 16 (Leases), AASB 9 (Financial Instruments), AASB 112 (Income Taxes), and related presentation and disclosure requirements often involve judgment and complex calculations. AI can assist with data extraction, classification, and rule-based calculations while keeping humans in control.
Data foundation is critical: High-quality inputs from your ERP, payroll, point-of-sale, billing, and contract repositories enable accurate outputs. Map your chart of accounts and data fields to AASB requirements and ensure consistent master data, units, and dates.
Controls, auditability, and governance: Implement explainable models, approval workflows, change logs, and data lineage. Retain evidence of assumptions and judgments to support internal and external audit. Treat AI outputs like any other financial model with appropriate control gates.
Privacy, security, and residency: Validate compliance with the Australian Privacy Act and relevant sector rules. Confirm data residency options, encryption, access controls, vendor certifications, and incident response processes before connecting sensitive financial data.
Tax alignment and timing: Align accounting entries with tax effect accounting under AASB 112, GST/BAS classification, payroll reporting (STP Phase 2), and NSW payroll tax obligations. AI can help separate temporary and permanent differences and maintain accurate deferred tax roll-forwards.
Value creation beyond compliance: Use AI analytics to improve pricing discipline, customer profitability, working capital cycles, and scenario planning. Linking reporting to strategy supports better decisions and can enhance valuation over time.
How this works in real businesses
Revenue recognition (AASB 15): For software and services businesses, AI can parse contracts to identify distinct performance obligations, allocate transaction price, and produce automated revenue schedules. For construction and projects, AI supports over-time recognition by combining cost-to-complete data with change order tracking, producing evidence of methods and judgments.
Lease accounting (AASB 16): AI extracts key lease terms from agreements, such as commencement dates, options, and payment schedules. It assists with calculating lease liabilities and right-of-use assets, handling reassessments and modifications, and maintaining an audit trail for discount rates and incremental borrowing rate decisions.
Credit loss provisioning (AASB 9): For wholesalers and SaaS providers with trade receivables, AI helps build expected credit loss models using ageing, customer risk factors, and forward-looking overlays. It documents assumptions and generates reconciliations from opening to closing loss allowances.
Tax effect accounting and BAS: AI maps accounting entries to tax treatment, maintains temporary difference registers, and updates deferred tax balances. It assists with GST coding, fringe benefits tax classification, and PAYG forecasting, reducing manual effort while keeping review sign-offs with finance.
Disclosures and close automation: Generative tools draft accounting policy notes, basis of preparation, and reconciliations for management review. Anomaly detection flags unusual journal entries and period-on-period movements for targeted investigation during the month-end close.
Management reporting and valuation: Scenario models link revenue, cost, and capital assumptions to cash flows for board packs and valuation analysis. AI supports sensitivity testing on price, volume, and working capital, helping leadership understand value drivers before major decisions.
A structured approach
Map your reporting pain points to AASB requirements, review data sources and quality, and identify high-impact use cases such as AASB 16 leases, AASB 15 revenue, or AASB 112 tax effect accounting.
Design policies and controls for AI use, select suitable tools, define roles for finance, tax, IT, and risk, and document governance for privacy, security, and audit readiness.
Pilot 1–2 use cases, integrate with your ERP and document repositories, configure rules and models, and establish review workflows, evidence packs, and sign-off procedures.
Monitor model performance and exceptions, refresh assumptions, perform periodic control testing, and extend to additional standards or tax areas once benefits and controls are proven.
What business owners ask us
Begin with a focused assessment of your financial close and reporting cycle. Prioritise one or two high-value areas, such as lease accounting or revenue scheduling, where data is accessible and controls can be established quickly.
No. AI augments your team by automating repetitive tasks, surfacing exceptions, and producing documentation. Finance professionals remain responsible for judgments, reviews, and sign-offs.
Maintain clear documentation of data sources, model logic, assumptions, approvals, and change history. Provide audit trails that link source documents to postings and disclosures, and keep governance procedures current.
Perform vendor due diligence on security controls, data residency, and privacy compliance. Limit access by role, encrypt data in transit and at rest, and establish incident response and retention policies aligned with your risk appetite.
You will need finance and tax reviewers, a data or systems lead to connect sources and ensure quality, and support from IT and risk for controls. Training the finance team on new workflows is essential.
Move from compliance burden to strategic advantage
AI, applied thoughtfully, can streamline AASB compliance, strengthen tax positioning, and turn your financial data into a lever for growth and valuation. If you are considering where to begin or how to scale responsibly, our advisors can help you design a practical roadmap, select suitable tools, and set up robust controls.
Speak with an Advisor to discuss your objectives and get a tailored approach for your Sydney business.

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:
Every business situation is unique. Our team can provide tailored guidance for your specific needs.
Trusted by Australian business owners