AASB-aligned DCF and analytics to help Sydney businesses optimise cash flow, liquidity and working capital Sydney cash flow and valuation specialists at MyMoney Financial

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 leaders are facing higher funding costs, tighter credit, and closer scrutiny from boards, lenders and auditors. AI-driven valuation and cash analytics can help you see around corners, align with AASB requirements, and act on opportunities faster.
In this article, we explain how AI-enhanced discounted cash flow (DCF) and AASB-compliant reporting can improve liquidity visibility, sharpen working capital decisions, and support growth, tax planning and compliance AASB-aligned financial strategy for AI-driven valuations. You will learn the core concepts, how they apply in real businesses, and a structured approach to get started.
Essential points to understand
DCF fundamentals and compliance: Build free cash flow forecasts (to firm or equity) with explicit periods and terminal value. Ensure consistency between cash flows and discount rate (nominal vs real, pre- or post-tax) and document assumptions in line with AASB 136 (impairment) and AASB 13 (fair value).
Working capital drivers: Track and forecast receivable days, inventory days and payable days to manage the cash conversion cycle. AI models can detect seasonality, customer payment patterns and supplier terms that materially impact cash.
Liquidity planning and governance: Maintain rolling 13-week cash forecasts for day-to-day decisions and 12–36 month scenarios for strategy and covenants. Align classifications and disclosures with AASB 107 (cash flows) and AASB 101 (current vs non-current).
Revenue and contract impacts: Revenue timing under AASB 15 and contract mechanics (deferred revenue, contract assets, retentions) can create gaps between profit and cash. Forecast these explicitly to avoid liquidity surprises.
Leases, capex and financing effects: Lease liabilities (AASB 16), capex programs and funding structures change free cash flows and WACC. Keep your capital structure, cost of debt and equity assumptions current and defensible.
Data, AI and explainability: Connect accounting/ERP and operational data, engineer drivers (volumes, pricing, churn, lead times) and use AI for pattern detection and scenario generation. Preserve an audit trail, controls and human oversight so outputs remain transparent and AASB-aligned.
How this works in real businesses
Wholesale and distribution (Western Sydney): AI reviews invoice histories and flags customers who systematically pay beyond terms. A scenario reduces receivable days by 5–8 via targeted credit limits and e-invoicing adoption. The DCF shows the value uplift from lower working capital and interest expense. AASB 9 expected credit loss assumptions are documented and tied to the same datasets.
SaaS and technology (Surry Hills): AASB 15 revenue recognition creates deferred revenue and a working capital draw. AI cohort models forecast churn, expansion and cash collections by billing cadence. The valuation links operating metrics (ARR, net revenue retention, gross margin) to free cash flow. A 13-week cash view protects payroll and tax obligations while the long-range forecast supports capital planning.
Construction and services (Parramatta): Progress claims, variations and retentions drive liquidity risk. AI models estimate claim approval timing, weather-driven delays and supplier lead times. Contract assets and liabilities are mapped for AASB 15, and term-based payment cycles are reflected in the cash forecast. Scenario analysis guides choices among early-payment discounts, project finance or renegotiated milestones.
What experienced advisors recommend: connect operational drivers to the DCF, not just a top-down revenue line; reconcile tax cash flows with BAS and payment calendars; keep discount rate policies consistent with market data; and maintain a clear, version-controlled assumption register for audit and board review.
A structured approach
Clarify objectives (planning, impairment, capital raise) and map data sources (accounting, ERP, CRM, billing). Identify critical drivers of cash, material contracts and compliance requirements under AASB 101, 107, 136, 13, 15 and 16.
Design an AI-enabled DCF and liquidity framework. Define forecasting granularity, driver hierarchies, scenarios and discount rate policy (WACC or cost of equity). Set documentation, controls and an explanation layer for audit and board needs.
Connect data, build a rolling 13-week cash forecast and 12–36 month scenarios, and operationalise working capital levers (collections workflows, replenishment rules, negotiated supplier terms). Align tax and BAS calendars to cash timing.
Back-test forecasts, monitor variances and update assumptions as market conditions change. Refresh WACC inputs, test impairment triggers, and maintain a secure audit trail with regular board-ready reporting.
What business owners ask us
AI adds pattern detection and scenario generation from large, noisy datasets. It helps forecast drivers like payment timing, churn or lead times with more nuance, and it can surface assumptions that materially move value. The financial logic and compliance rules remain governed by your policies and AASB requirements.
For planning valuations, many use WACC based on Australian risk-free rates, target capital structure and risk adjustments. For impairment under AASB 136, ensure consistency between cash flows and the discount rate and provide required disclosures. Document sources and methods for audit.
More quality data improves model stability, but you can start with 12–24 months if key drivers are available. Where history is limited, use external benchmarks, expert priors and conservative scenarios, then refine as data accumulates.
Include GST on a cash basis aligned to your BAS lodgement cycle (monthly or quarterly). Model payment dates for GST, PAYG and superannuation to avoid shortfalls. Reconcile tax cash flows with your profit and working capital movements.
They focus on method, evidence and governance. If assumptions are supportable, calculations are consistent with standards, and there is a clear audit trail with human oversight, AI-assisted models can be acceptable. Transparency and documentation are essential.
Turn insight into action
AI-enhanced DCF and AASB-aligned analytics give Sydney leaders a clearer line of sight to cash, liquidity and valuation. By linking operational drivers to financial outcomes, you can make informed decisions on growth, working capital, tax timing and risk.
If you would like tailored guidance for your business, speak with an advisor. Contact Our Team to discuss your objectives, data readiness and the right roadmap for your context.

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.
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