Compliance Guide

ISO/IEC 5338 Evidence Pack: What Auditors Ask For

An ISO/IEC 5338 evidence pack is the collection of documented and operational records an organization assembles to demonstrate conformance to AI system lifecycle process requirements. Because clause-level expectations vary by organizational scope, evidence should be organized into two categories: design-time documentation and runtime-generated records. Both should be validated directly against the current published standard text or accredited certification body guidance before an assessment.

Defining the Evidence Pack

An evidence pack is not a single document; it is a structured set of artifacts that, taken together, show how an AI system was designed, assessed, and operated across its lifecycle. Auditors reviewing a pack are generally looking for two things: that the documentation reflects decisions actually made during design, and that operational records confirm the system behaved as designed once it was running. A pack that only covers one side of that equation is incomplete regardless of how thorough it looks.

Two Evidence Categories: Design-Time and Runtime

Design-time documentation captures the decisions made before a system is deployed: specifications, architecture rationale, intended use statements, and risk assessments. Runtime-generated records capture what happened after deployment: operational logs, policy enforcement outcomes, and monitoring data. Keeping these categories distinct, while tracing both back to the same system or agent identifier, makes it possible to answer an auditor's question about either the plan or the practice without reconciling scattered sources.

Evidence pack categories and representative artifacts
CategoryRepresentative Artifacts
Design DocumentationSystem specifications, architecture decisions, intended use statements
Risk Assessment RecordsIdentified risks, mitigation decisions, review history
Change Management RecordsVersion history for design documents and production releases
Runtime Operational LogsAgent activity, policy enforcement outcomes, monitoring data

Where Evidence Packs Commonly Fall Short

Most gaps are structural rather than a lack of effort. Design documents are updated but earlier versions are discarded, so change history cannot be reconstructed. Operational logs record system-level events but not agent identity, permissions granted, or tool invocations, which leaves questions about accountability unanswered. Design-time and runtime evidence are stored separately with no shared identifier connecting them. And evidence completeness is only reviewed right before a scheduled assessment, which means gaps are discovered under time pressure rather than corrected in the ordinary course of operations.

Reducing Preparation Burden With Runtime Governance

Continuous runtime logging of agent identity, permissions, and policy enforcement decisions generates operational evidence as systems run, rather than requiring it to be reconstructed after the fact. When this logging is in place from the start, preparation for a conformance assessment becomes a matter of assembling existing records rather than recreating activity history from partial data. This does not remove the need for design-time documentation; it addresses the operational half of the evidence pack that design documents alone cannot cover.

Preparing for a Conformance Assessment

Conformance assessment structures vary by standard and can include self-assessment, second-party review, or third-party certification. Confirming which structure applies to your organization, through accredited certification body guidance rather than assumption, should happen early, since it affects what level of evidence detail is expected. The checklist below reflects the structural practices that keep an evidence pack ready between assessments, not only before one.

Building an Audit-Ready Evidence Structure

These practices keep design-time and runtime evidence consistent, traceable, and current, so that assembling a pack for review does not depend on last-minute reconstruction.

  • Maintain a single index mapping each lifecycle stage to its corresponding artifacts and owners
  • Separate design-time documentation from runtime-generated records, but keep both traceable to the same system or agent identifier
  • Version control all design documents and retain change history, not just the current version
  • Ensure operational logs capture agent identity, permissions granted, and tool invocations, not only system-level events
  • Review evidence completeness on a recurring schedule rather than only before a scheduled assessment
  • Confirm current clause-level expectations against the published ISO/IEC 5338 standard text or accredited certification body guidance before finalizing scope

Frequently Asked Questions

What is included in an ISO/IEC 5338 evidence pack?

An evidence pack generally combines design-time documentation, such as system specifications and risk assessments, with runtime-generated records, such as operational logs and change history. Specific artifacts required for a given scope should be confirmed against the current published standard text.

Does ISO/IEC 5338 require a specific certification scheme?

Conformance assessment structures vary by standard and can include self-assessment, second-party review, or third-party certification. Confirm which structure applies to your organization through accredited certification body guidance rather than assuming a single model.

How does runtime logging help with lifecycle audit evidence?

Continuous runtime logging of agent identity, permissions, and policy enforcement decisions generates operational evidence as systems run, reducing the manual effort needed to reconstruct activity history before an assessment.

Close the Runtime Evidence Gap

Design-time documentation is only half of a lifecycle evidence pack. See how runtime policy enforcement and audit logging support the operational half for AI agents.

Explore Runtime Governance