Does this sound familiar?
- Large document sets under tight deadlines
- Exceptions buried in repetitive evidence
- AI outputs that are difficult to trace
Internal and external auditors
AI for Auditors
Review more evidence without turning professional scepticism over to the model.
Review documents and flag exceptions faster, without losing rigor.
Level: IntermediateDuration: 2.5 hoursCertificate: In development
CLClaudeNONotebookLM
Turn familiar bottlenecks into repeatable AI workflows
Built around the real work and review pressures faced by internal and external auditors.
What you'll learn
Document-grounded review
Using NotebookLM to review a fixed set of audit documents.
Exception flagging
Using Claude to review documents and flag exceptions faster.
You'll leave with
- 1A document-grounded review process
- 2A defensible exception taxonomy
- 3An audit-ready exception list with evidence
Interactive lesson preview
See exactly what is taught.
Lesson 1 of 2Lesson preview
Document-grounded review
Using NotebookLM to review a fixed set of audit documents.
Guided practice
Apply the lesson to a realistic scenario designed for internal and external auditors, with assumptions and the required output made explicit.
Review method
Inspect the prompt, model choice, evidence, exceptions and human-review point before improving the result.
Applied output
This path builds toward: Run a sample document review and produce an exception list
Workflows covered
Projects & assessments
- Run a sample document review and produce an exception list
Completing each project against the outcome above is this path's assessment — there's no separate exam.