What controls should govern AI use in internal audit?
If an audit department wants to use generative AI, what controls should exist before people start pasting notes and asking it to draft reports?
Internal audit should define approved tools, permitted use cases, prohibited data, required review steps, retention expectations, and escalation paths for exceptions.
The control set should answer practical questions: What data may be entered? Is the tool approved by information security and legal? Are prompts and outputs retained when they influence the workpaper? Who reviews AI-assisted conclusions? How does the team confirm that the final workpaper ties back to evidence?
A simple governance flow is:
The main idea is controlled enablement. Internal audit does not need to reject useful tools, but it should not let convenience outrun confidentiality, evidence discipline, and accountability.
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