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Fundamentals

The “CSV Basics” Checklist for Your First Project

New teams often start with documents instead of decisions. A simple checklist keeps your first project practical and…

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First CSV projects fail for predictable reasons

New teams often start with documents instead of decisions. A simple checklist keeps your first project practical and audit-friendly.

The checklist

Background reading on this site: Validation 101: Critical Data vs Critical Functions, the Simplest Scoping Tool, The “Good Documentation Practice” Rules for Digital Evidence.

1) Intended use written clearly.

2) Scope boundary defined.

3) Critical functions and critical data identified.

4) Risks mapped to controls.

5) Requirements are testable.

6) Tests prove controls, not screens.

7) Evidence is stored with an index.

8) Operational controls planned. Access review, audit trail review, change control triggers.

CSV becomes manageable when you treat it as structured reasoning with evidence, not as a document collection exercise.

How this looks with an agentic layer

The fundamentals above do not change when validation is automated - they get enforced earlier. On a layer like Qualitum, intended use, risk and evidence are structured inputs rather than documents someone remembers to write: agents draft against them, maintain the traceability, and hand the result to a named human for approval.

  • Intended use and critical data are captured once and reused across the lifecycle
  • Evidence is generated with its traceability attached, not reconstructed for the audit
  • The approval - and the accountability - stays with your named reviewer

Systems and standards referenced

Primary sources for every platform and clause named above. External links open the vendor’s or regulator’s own documentation.

Platforms

Continue on this site

Editor’s note

Evaluating an agentic platform? Put it on the same grid as the incumbents - and make it produce one real executed protocol.

Talk to the editors

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