An audit preparation kit: AI-generated control documentation for three financial processes, a PBC list analyzer, and a template for audit inquiry responses.
Where AI Fits in Audit Work
External and internal audit generates massive amounts of documentation. AI helps with the documentation work — not the substantive audit judgment. The distinction is important.
High value — AI does well:
→ Drafting control narratives for process documentation
→ Summarizing lengthy audit findings in plain English
→ Drafting responses to auditor inquiries
→ Reviewing PBC lists for completeness
→ Creating control testing templates
Lower value — AI does poorly:
→ Making audit conclusions or risk assessments
→ Evaluating actual compliance evidence
→ Replacing auditor judgment on materiality
→ Creating anything that requires your organization's
specific transaction dataConfidentiality warning: Audit materials frequently contain highly sensitive information. Use enterprise AI tools with appropriate data agreements, or work only with descriptions and sanitized examples — never actual transactions, account numbers, or personally identifiable information.
Control Narrative Documentation
Control narratives — the documents that describe how a financial control works — are required by SOX, ISO, and most audit frameworks. They're also time-consuming to write and often written by whoever is least busy, which means quality varies wildly.
Write a control narrative for the following financial control.
Format: SOX-style narrative suitable for external auditors.
Include: control objective, process description, responsible
parties, frequency, evidence produced, exceptions process.
Control: Month-end bank reconciliation
Process I'm describing:
- Finance analyst pulls bank statement on day 2 of close
- Compares to general ledger balance in NetSuite
- Investigates and documents items over $1,000
- Controller reviews and approves by day 5
- Approved reconciliation filed in SharePoint
Make it comprehensive enough for a SOX audit, but
concise enough that a new employee could follow it.PBC List Analysis and Audit Response
A PBC (Prepared By Client) list is the auditor's list of documents they're requesting. Reviewing it, figuring out who owns each item, and tracking responses is tedious coordination work AI can help systematize.
Review this PBC list and help me prepare for the audit:
1. Group items by owner/department
2. Identify which items are likely to take longest to gather
3. Flag any items that seem unusual or that I should clarify
with the audit team before gathering
4. Suggest a collection timeline if audit fieldwork starts in 3 weeks
[paste PBC list]For audit inquiry responses — written answers to specific auditor questions — AI can draft a first response that you then review for accuracy:
Draft a response to this auditor inquiry.
Tone: professional, factual, neither defensive nor over-explaining.
Length: 100-200 words.
Inquiry: [paste auditor question]
Facts: [what actually happened]
Supporting evidence: [what documents exist]What You Learned Today
- Where AI adds value in audit work vs. where professional judgment can't be delegated
- How to generate SOX-quality control narratives from a process description
- How to use AI to analyze PBC lists and plan audit response timelines
- The format for drafting audit inquiry responses that are professional and factual
Go Further on Your Own
- Pick one financial control from your organization and write a control narrative with AI. Have a colleague who knows the process review it for accuracy and completeness.
- Ask AI to generate a 'common audit findings' list for your industry. Use it as a self-assessment checklist: which findings could apply to your organization?
- Use AI to create a control testing template for one of your key financial controls — what would an auditor check to verify the control is operating effectively?
Nice work. Keep going.
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