Evidence engineering
How to move from screenshots and spreadsheets to repeatable evidence pipelines: sources → rules → exceptions → remediation.
Why it matters
- Defensibility (integrity, completeness, retention)
- Sampling that can be explained
- Exception handling without theatre
Personal site. Views are my own.
How I think about this
- Define evidence standards
- Normalize and validate evidence inputs
- Automate sampling and completeness checks
- Track exceptions to closure
- Retain and reproduce on demand
Where to go next
If you want the deeper mechanics, the Control Automation topics go hands-on; if you want real-world applications, jump into Use cases.