How to Use AI for IFRS Research: A Practical Guide for Finance Professionals

How to Use AI for IFRS Research: A Practical Guide

IFRS research is one of the most technically demanding tasks in the finance function — and one where AI tools can provide significant value, but only when used with the right approach and appropriate scepticism. This guide covers how to use AI effectively for IFRS research, which tools work best, and the limitations that every finance professional must understand.

What AI Can and Cannot Do for IFRS Research

What AI is genuinely useful for:

• Explaining complex standards in plain language
• Summarising the key requirements of a specific standard
• Identifying which standards are relevant to a specific transaction or scenario
• Comparing the treatment under different standards (e.g. IFRS 16 vs IAS 17)
• Drafting initial interpretations for professional review
• Processing and cross-referencing long IFRS guidance documents

What AI cannot reliably do for IFRS research:

• Provide definitive interpretations of how a standard applies to a specific complex transaction — this requires professional judgement
• Guarantee that its summary reflects the current version of a standard (standards are updated; AI training data may not reflect recent amendments)
• Replace technical guidance from your Big Four or audit firm contacts, technical accounting teams, or the IFRS Foundation's own interpretations committee guidance

The Right Tool for IFRS Research

Claude is the most effective AI tool for IFRS research because of its large context window. You can upload an entire IFRS standard — IFRS 9, IFRS 16, IFRS 15 — and query it directly within a single session. This allows you to ask specific questions and get answers that are grounded in the actual standard text you have provided, rather than in AI training data that may be incomplete or outdated.

NotebookLM is effective when you need to cross-reference multiple standards or compare a standard against related guidance documents. Upload the relevant standards and query across them.

Perplexity is useful for identifying recent amendments, exposure drafts, and IFRIC interpretations — because it searches the web and provides current information with citations.

ChatGPT is useful for plain-language explanations of IFRS concepts and for drafting initial technical memos for professional review.

A Practical IFRS Research Workflow

Step 1: Define the question precisely. The more specific your question, the more useful the AI output. "What does IFRS 16 say about lease modifications?" is more productive than "Tell me about IFRS 16."

Step 2: Upload the standard. Download the current version of the relevant standard from the IFRS Foundation website and upload it to Claude or NotebookLM. This grounds the AI's response in the actual standard text rather than potentially outdated training data.

Step 3: Ask specific questions. Ask the AI to identify the relevant paragraphs, explain the requirements in plain language, and flag any judgement areas or areas of complexity.

Step 4: Cross-check with Perplexity. Use Perplexity to check whether there have been any recent amendments, IFRIC interpretations, or implementation guidance relevant to your question.

Step 5: Professional review. AI-generated IFRS analysis is a starting point for professional review, not a final answer. Complex transactions require judgement that AI cannot reliably provide.

Specific IFRS Standards Where AI Is Most Useful

IFRS 16 (Leases): The standard is detailed and contains significant implementation guidance. AI tools are effective at explaining the lessee accounting model, identifying lease vs service contracts, and summarising the disclosure requirements.

IFRS 15 (Revenue): The five-step model is complex and generates frequent judgement questions. AI tools can help explain each step and identify relevant paragraphs for specific scenarios.

IFRS 9 (Financial Instruments): Classification, measurement, and impairment requirements are technically demanding. AI can explain the classification criteria and the ECL model at a conceptual level.

IFRS 3 (Business Combinations): Acquisition accounting queries are common in practice. AI tools can help identify the key requirements and the areas requiring judgement.

Important Limitations to Keep in Mind

• IFRS standards are updated regularly. Always verify that the standard you are working with is the current version.
• AI cannot access the IFRS Foundation's Interpretations Committee agenda decisions or staff papers without them being explicitly uploaded.
• Complex transaction-specific interpretations require qualified professional review — AI provides a starting point, not a conclusion.

Related Reading

• How to Use Claude for Finance: A Practical Guide for Accountants and Analysts
• NotebookLM for Due Diligence: How Finance Professionals Use It
• AI for Tax Managers: Practical Tools and Workflows for Tax Professionals
• 50 ChatGPT Prompts for Accountants: Copy-Paste Templates That Work

---

Join the waitlist for the AI for Finance Professionals programme.