AI for your role

AI for Internal Audits

Spend less time gathering evidence and more time judging risk.

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The shift

How AI is changing the Internal Audit role

In 2026, AI handles much of the routine work in internal audit: summarizing policies, drafting test procedures, and scanning full transaction populations instead of small samples. Tools now flag anomalies in journal entries, expense reports, and access logs, then explain why each one stands out. This shifts auditor time toward evaluating findings, scoping engagements, and discussing root causes with management.

What AI can take off your plate

  • Summarizing policies and prior audit reports into control matrices
  • Testing full transaction populations instead of pulling small samples
  • Drafting first versions of audit programs, findings, and report sections
  • Reconciling and cleaning ERP and system exports for analysis
  • Tracking issue remediation status and sending follow-up reminders

What stays distinctly human

  • Judging which risks matter most and setting the audit scope
  • Building trust with management so people share honest information
  • Deciding whether a control weakness is acceptable in context
  • Interpreting intent behind unusual transactions or behavior
  • Defending findings and conclusions to the audit committee and board
Tools

Five AI tools for Internal Audits

ChatGPT
An auditor drafts audit programs, summarizes control frameworks, and rewrites findings in clear language for the audit committee.
Microsoft Copilot
Inside Excel and Word, it analyzes test workpapers, builds pivot summaries, and drafts sections of the audit report from notes.
AuditBoard
Manages the audit lifecycle and uses built-in analytics to track issues, controls testing status, and remediation across engagements.
MindBridge
Scores entire general ledger populations for risk so auditors can focus testing on the highest-risk transactions rather than random samples.
Alteryx
Builds repeatable data workflows to join and clean ERP exports, then run continuous control checks without manual spreadsheet steps.
Prompts

Five prompts to try today

Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.

1. Draft a test program
Write an audit test program for the [process name] control over [risk, e.g. duplicate payments]. Include control objective, test steps, sample selection approach, and the evidence to request from the process owner.
2. Summarize a policy
Summarize this [policy or SOP] into a control matrix listing each control, its owner, frequency, and the risk it addresses. Flag any control that lacks a clear owner or evidence source. Policy text: [paste].
3. Explain an anomaly
Here are [number] flagged journal entries with these attributes: [paste data]. Explain plausible reasons each could be flagged, rank them by audit risk, and suggest one follow-up question for each.
4. Write a finding
Turn these rough notes into a structured audit finding with condition, criteria, cause, effect, and recommendation. Keep it factual and non-accusatory. Notes: [paste].
5. Build an interview guide
Create an interview guide for a walkthrough of the [process name] with the [role] owner. Include open questions to confirm controls, segregation of duties, and exception handling. Limit to 12 questions.

A day in your inbox

This is the kind of brief a Internal Audit gets, every weekday morning.
Weekday morning
✦ Personalized for: Internal Audit
Today's Tool
Score the population with MindBridge
Load the full general ledger and let MindBridge assign a risk score to every entry. Review the highest-scoring entries first instead of testing a random sample of 25.
Today's Prompt
Ask the assistant to explain the outliers
Paste the flagged entries and ask the AI to list plausible reasons for each flag, ranked by audit risk. Use its follow-up questions to guide your conversation with the process owner.
Today's Trick
Keep the AI inside your evidence
Always paste the actual data, policy, or notes into the prompt rather than asking the model to recall facts. This keeps drafts grounded in your workpapers and reduces invented details you would have to correct.

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