Assurance Unit Method
Define the smallest meaningful unit of intended use, failure, control, and evidence before selecting a test.
Methods you can use
Small, transparent aids that structure professional judgment without pretending to automate accountability.
Interactive planning aid
Explore how determinism, novelty, and detectability affect the primary test method.
Deterministic prototype · AI-assistance roadmap
Run inspectable document checks, trace candidate findings to source context, and preserve human dispositions. The product brief also defines the control boundary for future AI-assisted review.
Review the controls before launchPrintable working aids
Define the smallest meaningful unit of intended use, failure, control, and evidence before selecting a test.
Evaluate supplier evidence by relevance, credibility, coverage, and the customer-specific gap that remains.
Choose scripted, exploratory, automated, or observational evidence from risk, determinism, novelty, and detectability.
Triage continuous SaaS change through exposure, criticality, detectability, and novelty.
Define the conditions within which an AI-enabled use remains acceptable and detectable.
Connect intended use, failure, control, evidence, decision, and monitoring into a concise assurance argument.
Maintain a versioned claim–argument–evidence structure as systems, suppliers, and risks change.
Use AI to prioritize and structure review while preserving accountable human decisions and source traceability.