AI Assurance
The AI Assurance Release Decision: From Model Scores to a Controlled GxP Use
How to combine AI performance, controls, human review and monitoring into a decision about a defined use.
Resources / Practitioner perspectives
Articles
Read practical explanations of common validation and assurance questions.
8 standalone articles · All · Page 1 of 2
Supplier & SaaS
The SaaS Version Problem: Assuring Software You Cannot Freeze
How to assess a supplier release, identify affected functions and choose the evidence needed for continued use.
Supplier & SaaS
Why “The Vendor Validated It” Is Not an Assurance Conclusion
How to decide which supplier evidence supports your configuration and which questions still need local evidence.
Testing
When Exploratory Testing Produces Better Evidence Than a Script
When exploratory testing can reveal important failures, and how to keep its findings reviewable.
Testing
Fewer test scripts do not automatically mean better assurance
How to judge a testing change by risk coverage and evidence quality instead of script counts.
Testing
A screenshot is evidence only when it answers a question
How to choose evidence that connects a test claim, the conditions and the observed result.