Spend less time gathering evidence and more time judging risk.
Get the Internal Audit briefIn 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.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
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.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].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.Turn these rough notes into a structured audit finding with condition, criteria, cause, effect, and recommendation. Keep it factual and non-accusatory. Notes: [paste].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.Your full AI playbook for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
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