AASB 13 Fair Value Audit: CPA Strategy for AI-Asset Liquidity

AASB 13 Fair Value Audit: Unlocking AI Asset Liquidity for Australian Business Borrowing

Leverage robust AI asset valuation under AASB 13 to secure enhanced business lending and liquidity.

GC
Graham CheePrincipal and Founder, Local Knowledge
FCPA
CPA
GRCP
GRCA
Published 28 July 2026
Expert Content Verification

Content reviewed and verified by Graham Chee, with FCPA-led practice at Local Knowledge, Mascot NSW. Continuous CPA Australia member since 1986. Prior career at Goldman Sachs, BNP Investment Management and Merrill Lynch.. Last reviewed July 2026. Next review scheduled for October 2026.

TL;DR

Leverage robust AI asset valuation under AASB 13 to secure enhanced business lending and liquidity.

CPA AustraliaIP Australia

Introduction: The Untapped Potential of AI Assets on Your Balance Sheet

In Australia's rapidly evolving business landscape, Artificial Intelligence (AI) is no longer a futuristic concept but a tangible, value-generating asset. Yet, many businesses struggle to translate their significant investments in AI intellectual property into practical financial leverage, particularly when seeking bank loans. This challenge stems from the complex intersection of cutting-edge technology and established accounting standards. Principal Advisor Graham Chee (FCPA, GRCP) draws on Fellow CPA Australia status and prior institutional roles at Goldman Sachs, BNP Investment Management, and Merrill Lynch to deliver authority-grade guidance on the regulatory intersection of AI valuation and accounting standards (AASB 13), specifically for enhancing business borrowing power. This article moves beyond generic discussions of AI growth to provide a technical framework for treating intangible AI assets on the balance sheet, crucial for managing cash flow demands and unlocking capital. You will learn how to strategically value and account for your AI assets under AASB 13, preparing your business for enhanced lending opportunities and robust financial health.

The Regulatory Imperative: Why AASB 13 Matters for Your AI Assets

Australian Accounting Standard Board (AASB) 13, 'Fair Value Measurement,' provides a unified framework for measuring fair value when required or permitted by other accounting standards. For businesses developing or utilising AI, understanding AASB 13 is critical because it dictates how these often-intangible assets are represented on financial statements. Without a rigorous, compliant valuation, the true economic contribution of your AI investments remains invisible to lenders and investors. This invisibility directly impacts your business's ability to secure financing, as banks primarily assess borrowing capacity based on recognised assets and predictable cash flows. A robust AASB 13 fair value audit transforms AI from a mere operational expense or R&D cost into a balance sheet asset that can underpin borrowing. This is particularly relevant for high-growth, innovation-driven SMEs where traditional collateral may be limited. Compliance with AASB 13 ensures transparency and comparability, providing stakeholders with a clear, defensible understanding of your AI asset's worth. Ignoring these standards can lead to undervaluation, hindering capital acquisition and strategic growth. [AASB: AASB 13 Fair Value Measurement]

Defining AI as an Intangible Asset Under Australian Accounting Standards (AASB 138)

Before applying AASB 13's fair value principles, it's essential to correctly classify AI as an intangible asset under AASB 138, 'Intangible Assets.' AASB 138 defines an intangible asset as an identifiable non-monetary asset without physical substance. For AI, this typically includes proprietary algorithms, machine learning models, trained datasets, and the underlying intellectual property (IP) that drives AI functionality. Crucially, an intangible asset must be 'identifiable,' meaning it is separable (capable of being sold, transferred, licensed, rented, or exchanged) or arises from contractual or other legal rights. This is where diligent IP registration and protection become paramount. For example, registering trademarks (like MyMoney™ TM 819051) or patents for AI innovations helps establish legal identifiability. Internally generated AI assets often face stricter recognition criteria, requiring proof of technical feasibility, intent to complete, ability to use or sell, probable future economic benefits, and reliable measurement of expenditure. Without meeting these criteria, significant AI development costs might be expensed rather than capitalised, diminishing balance sheet strength. [IP Australia: Protecting your IP]

Fair Value Measurement for AI: Practical Application of AASB 13 Principles

From Intangible to Leveraged: AI Valuation for Enhanced Business Loan Readiness

Transforming your AI assets into leverage for bank loans requires more than just a valuation report; it necessitates a strategic approach to financial reporting and lender engagement. Banks typically look for tangible assets and predictable cash flows. However, a well-documented and independently verified AASB 13 fair value assessment for your AI IP can significantly strengthen your loan application. This process involves:

  1. Robust Documentation: Maintain detailed records of AI development costs, IP registrations, and evidence of future economic benefits.
  2. Independent Valuation: Engage a qualified professional (such as an FCPA with valuation expertise) to perform an AASB 13 compliant fair value assessment.
  3. Financial Statement Presentation: Ensure your AI assets are correctly capitalised and presented on your balance sheet in accordance with AASB 138 and AASB 13.
  4. Lender Education: Proactively educate potential lenders on the nature and value of your AI assets, demonstrating their contribution to your business's sustainability and growth.

This proactive stance can shift a bank's perception of your business from one reliant solely on traditional collateral to an innovative entity with significant intellectual capital. This enhanced financial transparency can lead to more favourable lending terms, increased borrowing capacity, and ultimately, greater liquidity for your operations and growth initiatives. [ASIC: Information for small business about raising capital]

GRCP Insights: Mitigating Valuation Risk in AI Asset Audits

As a GRCP (Governance, Risk and Compliance Professional), Graham Chee understands that AI asset valuation is not just about numbers; it's about managing inherent risks. The subjective nature of fair value measurement for unique AI assets introduces valuation risk, which auditors and lenders scrutinise closely. Key risks include:

  • Model Risk: The assumptions and methodologies used in valuation models (especially income approach) may be flawed or overly optimistic.
  • Data Risk: Reliance on incomplete or unreliable data for projections and market comparisons.
  • Obsolescence Risk: The rapid pace of AI development can quickly render existing models or algorithms obsolete, impacting their future economic benefits.
  • IP Protection Risk: Inadequate legal protection for AI IP can undermine its identifiability and, consequently, its value.

To mitigate these, a GRCP-informed strategy includes:

  • Scenario Analysis: Performing sensitivity analysis on key valuation inputs to understand the range of potential values.
  • Expert Review: Engaging independent experts to review valuation methodologies and assumptions.
  • Continuous Monitoring: Regularly reassessing AI asset values in light of technological advancements and market changes.
  • Robust IP Strategy: Ensuring comprehensive legal protection for AI assets (e.g., patents, trade secrets).

This proactive risk management approach provides greater assurance to auditors and lenders, enhancing the credibility and utility of your AI asset valuations. [CPA Australia: Risk management for CPAs]

The CPA's Role: Strategic Valuation to Liquidate Intellectual Property

The role of a CPA, particularly one with FCPA and GRCP credentials, is pivotal in transforming abstract AI intellectual property into a liquidable asset for borrowing. It extends beyond mere compliance to strategic financial advisory. Our approach involves:

  1. Initial Assessment: Identifying all potential AI assets within your business and assessing their eligibility for capitalisation under AASB 138.
  2. Valuation Methodology Selection: Determining the most appropriate AASB 13 compliant valuation method (market, income, or cost approach) based on the AI asset's nature and market context.
  3. Data Gathering & Analysis: Collaborating with your technical teams to gather necessary data for projections, development costs, and market comparisons.
  4. Fair Value Reporting: Preparing a comprehensive valuation report that adheres to AASB 13 principles, providing transparent and defensible fair value estimates.
  5. Audit Liaison: Acting as an intermediary with auditors to address any queries regarding valuation methodologies and assumptions.
  6. Lender Engagement Support: Assisting in presenting the AI asset valuation to financial institutions, translating technical accounting into language relevant for credit assessment.

This comprehensive service ensures that your AI investments are not just recognised, but strategically leveraged to enhance your financial flexibility and borrowing power. Our principal-led approach ensures that every valuation is scrutinised to the highest professional standards, aligning with the CPA Code of Ethics. [APESB: APES 110 Code of Ethics for Professional Accountants]

Future-Proofing Your Balance Sheet: AI Assets and Australian Lending

As AI integration becomes ubiquitous across industries, its recognition as a valuable balance sheet asset will increasingly differentiate forward-thinking Australian businesses. Future-proofing your balance sheet involves not just adopting AI, but strategically accounting for it to maximise its financial utility. The Australian lending landscape is evolving, with financial institutions beginning to recognise the strategic value of intellectual property. By proactively valuing your AI assets under AASB 13, you position your business at the forefront of this shift. This not only enhances your immediate borrowing capacity but also strengthens your overall enterprise value for potential investors, partners, or future acquisitions. Maintaining a robust framework for AI asset valuation and ongoing re-assessment will be crucial. This includes staying abreast of changes in accounting standards, technological advancements, and market dynamics that could impact your AI's fair value. Ultimately, leveraging your AI assets through meticulous accounting is a strategic imperative for sustained growth and financial resilience in the modern Australian economy. [Business.gov.au: Valuing your business]

Frequently Asked Questions

Q.What specifically qualifies an AI asset for capitalisation under AASB 138?

For an AI asset to be capitalised under AASB 138, it must be identifiable, meaning it is separable or arises from contractual/legal rights. It must also be controlled by the entity, and future economic benefits must be probable. For internally generated AI, additional criteria apply, including technical feasibility, intent to complete, ability to use or sell, probable future economic benefits, and reliable measurement of expenditure. This often involves demonstrating operational functionality and a clear path to commercialisation. Without meeting these stringent requirements, significant AI development costs may need to be expensed rather than recognised as an asset on the balance sheet. [AASB: AASB 138 Intangible Assets]

Q.How do banks view intangible AI assets when assessing loan applications?

Traditionally, banks prefer tangible assets as collateral due to their easier liquidation. However, a well-prepared and independently verified AASB 13 fair value assessment of AI intellectual property can significantly influence a bank's perception. It demonstrates a robust underlying asset base and potential for future cash flow generation. Banks increasingly recognise the strategic value of IP, especially for innovative businesses. The key is to provide clear, defensible evidence of the AI's value, its contribution to revenue, and its legal protection, enabling the bank to understand the asset's quality and its role in mitigating lending risk. [ATO: Interest deductions for business]

Q.What are the common pitfalls in valuing AI assets under AASB 13?

Common pitfalls include over-optimistic projections of future economic benefits, insufficient data to support valuation assumptions, and a lack of understanding of the AI's lifecycle and potential obsolescence. Relying solely on the cost approach without considering the income-generating potential can also lead to undervaluation. Furthermore, inadequate legal protection of the underlying AI intellectual property can weaken its 'identifiability' criterion under AASB 138, making fair value measurement challenging. Engaging a qualified FCPA with expertise in intangible asset valuation and GRCP insights can help navigate these complexities and ensure a defensible valuation. [CPA Australia: Valuing intangible assets]

Q.Can I use an internal valuation for my AI assets, or must it be external?

While an internal valuation can provide an initial estimate, for audit purposes and particularly for bank lending, an independent, external valuation is highly recommended, and often required. External valuers bring objectivity, specialised expertise in AASB 13 and AASB 138, and credibility that internal valuations may lack. An independent valuation report provides greater assurance to auditors and lenders that the fair value measurement is free from bias and adheres to professional standards. This enhanced credibility is crucial for unlocking the full financial potential of your AI assets for borrowing. [APESB: APES 225 Valuation Services]

Q.How does IP protection impact the valuation of AI assets?

IP protection is fundamental to the valuation of AI assets. Under AASB 138, an intangible asset must be 'identifiable,' which is often established through legal rights such as patents, copyrights, or trade secrets. Robust IP protection (e.g., registered trademarks like MyMoney™) ensures that the economic benefits generated by the AI asset can be legally controlled by the entity, preventing unauthorised use by competitors. Without adequate protection, the asset's future economic benefits are less certain, directly impacting its fair value under AASB 13, particularly when using an income approach valuation. Strong IP safeguards enhance the asset's defensibility and marketability. [IP Australia: IP for AI]

Expert Insight: The Strategic Imperative of AI Asset Valuation

In principal-led practice, we've seen firsthand that businesses investing heavily in AI often overlook the critical step of formally recognising and valuing these assets on their balance sheets. This oversight isn't just an accounting technicality; it's a missed opportunity to unlock significant capital. The shift from seeing AI as a cost centre to a valuable, leverageable asset requires a deep understanding of both technology and regulatory compliance. Our experience with complex investment structures and intellectual property, honed through roles at Goldman Sachs and Merrill Lynch, allows us to bridge this gap for owner-operated SMEs. It's about providing the institutional-grade rigour needed to transform innovative AI into tangible borrowing power, ensuring our clients are not just compliant, but strategically positioned for growth. Every file is signed off by our principal under the stringent CPA Code of Ethics, guaranteeing the highest standard of advice.

Unlock Your AI Asset's Borrowing Potential

Navigating the complexities of AASB 13 and AASB 138 for AI asset valuation requires specialised expertise. Don't let your valuable AI investments remain invisible to lenders. Our FCPA-led practice, Local Knowledge, provides the strategic guidance and rigorous valuation services needed to transform your AI intellectual property into tangible financial leverage. Speak with our principal to discuss how a compliant AASB 13 fair value audit can enhance your business's borrowing power and secure its financial future.

About the Author

Graham Chee

Graham Chee, FCPA, CPA, GRCP, GRCA

Principal and Founder, Local Knowledge

Graham Chee is the principal and founder of Local Knowledge, an FCPA-led Australian practice that brings institutional-grade compliance, investment-structure and intellectual-property experience directly to owner-managed businesses. Graham is a Fellow of CPA Australia (FCPA since November 2005, continuous CPA member since 1986) and holds the OCEG Governance, Risk & Compliance Professional (GRCP) and Governance, Risk & Compliance Auditor (GRCA) designations. His prior career includes senior roles at Goldman Sachs, BNP Investment Management and Merrill Lynch. Graham was previously portfolio manager of the Asian Masters Fund (IPO December 2007 – 31 December 2009), which returned +29% in AUD terms versus the MSCI Asia Pacific (ex Japan) benchmark. He signs off on 100% of client files personally.

Areas of Expertise:

Strategic Business Advisory
Taxation Planning & ATO Compliance
Business Valuation
Succession Planning
Investment-Structure Governance
Governance, Risk & Compliance
Australian Financial Reporting (AASB)
Intellectual Property Protection
Experience: FCPA-led practice at Local Knowledge, Mascot NSW. Continuous CPA Australia member since 1986. Prior career at Goldman Sachs, BNP Investment Management and Merrill Lynch.

Industry-specific insights

This article is especially relevant to these industries. See how we tailor our services for each.

This insight was generated by our AI intelligence engine

Contact Us Today

This article provides general information only and does not constitute financial or accounting advice. It is essential to speak with a qualified professional for advice specific to your situation. Every file at Local Knowledge is signed off by our principal under the CPA Code of Ethics, ensuring adherence to the highest professional standards.

Graham Chee FCPA, CPA, GRCP, GRCA · Principal, Local Knowledge · Mascot NSW · CPA-signed files