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Open source · active development
AuditFlow
A lightweight framework for structured, traceable, and reproducible internal audit work.
Open GitHub01
The problem
Audit work is often scattered across spreadsheets, documents, emails, screenshots, and slide decks. The final conclusion may be correct, but the reasoning behind it gradually disappears and updating calculations becomes expensive.
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AuditFlow Philosophy
Time is the most valuable resource. Therefore:
- no work for the sake of work
- why?” before “how?”: testing should focus on the areas identified as significant during planning
- work is easy to understand and trace, avoiding time wasted on clarification
- decisions and conclusions are data-based, and analysis is simple and fast: an error is fixed in a script in 5 minutes, not in Excel in 3 hours
- mechanical work is minimized
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Traceability chain
Risk → Control → Test → Evidence → Result → Observation → Action → Report04
How it works
AuditFlow keeps structured decisions in YAML, audit narratives and workpapers in Markdown/Quarto, raw evidence unchanged, and generated outputs separate from source evidence.
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Current limitations
- it is not a complete corporate internal audit methodology
- basic Python practice is required to get the most from it
- LLM integration is in process