Verification-First Policy
Definition
Success criteria and evidence are defined before adopting an AI result.
A Verification-First Policy is an operational rule according to which relevant results are only considered completed after appropriate controls. It defines what is checked, who approves, and how exceptions are handled.
Simply explained
Before marking as done, it is clear how you recognize that the task is truly completed.
Why it matters in practice
The rule creates shared expectations for humans and AI-supported workflows.
Example from business
Hypothetical example: A team accepts a data import only when row counts, mandatory fields, and samples match the original.
Limits and pitfalls
- Disproportionate checks slow down simple tasks. Blanket approval despite missing evidence renders the rule ineffective.
Origin & history
The approach transfers quality assurance and approval criteria to AI-supported work.
Use in mid-sized companies
- Choose verification depth based on impact and explicitly document unresolved deviations.
Frequently asked questions
Must every little detail be double-checked?
No, the control should match the task and its possible consequences.
Sources
– Grundlage fortlaufender Absicherung; Verification-First Policy ist eine beschreibende Arbeitsregel.
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