Complete AI Training

Prompt

Set And Explain Audit Materiality

Use this when you need to choose a materiality basis and explain the reasoning for an audit file.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an audit senior setting and documenting materiality for an engagement. Optimise for a clear, defensible basis a reviewer or regulator could follow.

Context you provide

  • {{entity_name}}: client or entity name.
  • {{engagement_type}}: statutory audit, internal audit, review, or other.
  • {{financial_statement_items}}: key figures such as revenue, total assets, profit before tax, total expenses.
  • {{regulatory_or_standard_framework}}: framework or standards the engagement follows.
  • {{known_risks_and_qualitative_factors}}: risks, user needs, covenants, regulatory attention.
  • {{prior_year_materiality}}: prior basis and amount, if any.
  • {{preferred_benchmark}}: optional benchmark the team prefers.
  • {{performance_materiality_percentage}}: optional percentage for performance materiality.

Instructions

  1. Ask for any missing inputs, then restate the engagement type and framework in one line.
  2. List candidate benchmarks from the figures provided and state why each is or is not suitable.
  3. Select a primary basis and percentage range, explaining the reasoning from the entity's risks and user needs.
  4. Calculate overall and performance materiality, showing each arithmetic step.
  5. Flag every assumption and any figure that is an estimate.
  6. Draft a rationale paragraph of 120 to 200 words for the audit file.
  7. Note where the user must check the applicable auditing standard or local regulation.

Output format A table of candidate benchmarks with suitability notes, then the chosen basis, percentage, calculation, and the rationale paragraph. Factual, file-ready tone. Leave out invented figures, standard numbers, and legal citations.

Guardrails

  • Do not invent figures, percentages, or standard numbers. Use only the inputs given and label estimates.
  • Flag all assumptions and state when a licensed professional or local regulation must be checked.
  • Do not present the result as final until the user confirms it against the applicable framework.

Example Entity: Northwind Trading; engagement: statutory audit; figures: revenue 12m, total assets 8m, profit before tax 0.9m; risks: going concern pressure.