# The 5 Requirements Every URS Should Include

> A URS that is vague creates testing confusion and audit risk. A URS that is specific and verifiable becomes a validation

- Author: Marisol Aguirre (https://lifescienceai.org/authors/marisol-aguirre/)
- Published: 2026-06-14
- Category: Fundamentals
- Canonical URL: https://lifescienceai.org/articles/the-5-requirements-every-urs-should-include/
- Word count: 191
- Platforms named: Qualitum (https://qualitum.ai/)

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## Good URS makes validation easier

A URS that is vague creates testing confusion and audit risk. A URS that is specific and verifiable becomes a validation roadmap.

## Five requirement types you should not skip

1) Access control. Roles, permissions, and least privilege expectations.

2) Audit trails. Events captured, context captured, and export ability.

3) Electronic approvals. Workflow approvals, signature meaning, and attribution.

4) Record retention and export. Retention period, readable exports, metadata inclusion.

5) Change traceability. Configuration changes logged and reviewable.

If these five are present and testable, your URS supports compliance, not just functionality.

## 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

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Source: LifeScienceAI - https://lifescienceai.org/articles/the-5-requirements-every-urs-should-include/. Editorial analysis, not regulatory advice. Cite as: Marisol Aguirre, "The 5 Requirements Every URS Should Include", LifeScienceAI, June 14, 2026.