Operations · template · CSVtoCSA editorial

AI Change Assessment

Version 2.0 · Updated 2026-09-21 · Operations

Determine whether an AI model, prompt, source, retrieval, parser, guardrail, workflow, or role change affects approved use or demonstrated performance.

Adapt this template to your intended use, applicable requirements, and approved procedures.

When to use it

For planned and supplier-managed AI changes before release.

Information needed before starting

  • Authoritative AI change and version/configuration baseline
  • Source, retrieval, model, prompt, parser and workflow dependencies
  • Previous evaluation results, acceptance criteria and rollback/monitoring plan

Field instructions

  • Change and authoritative information: Identify the authoritative change, affected configuration and dependencies. Trace the impact to approved use, controls, evidence and the local change/approval process.
  • Approved intended use: Describe the specific task, users, outputs and decisions supported. Identify the assessed environment and limits of reliance.
  • Affected AI and GxP functions: Identify the function or requirement and its controlled reference. Explain the regulated process or record that depends on it.
  • Prompt, source, retrieval, or parser impact: Identify the applicable retention basis, accountable record owner and retrieval method. Confirm obligations and test retrieval before deletion or ending supplier access.
  • Model or version impact: Identify the authoritative change, affected configuration and dependencies. Trace the impact to approved use, controls, evidence and the local change/approval process.
  • Guardrail, workflow, tool, or role impact: Identify the authoritative change, affected configuration and dependencies. Trace the impact to approved use, controls, evidence and the local change/approval process.
  • Acceptance-criteria impact: Define the measures, denominators and risk-based acceptance criteria before execution. Report critical misses separately and explain dataset limitations.
  • Regression and critical-miss evaluation: Identify the assessed configuration, representative data, selected activities and expected results. Include abnormal and recovery paths and explain remaining coverage gaps.
  • Human-review impact: Define the reviewer’s independent checks, source access, competence and escalation route. Reference evidence that the review detects important errors.
  • Rollback, monitoring, and stop criteria: State what will be compared or monitored, against which baseline, by whom and how often. Define discrepancy thresholds and the response.
  • Release decision: Record the supported decision, restrictions, unresolved issues and rationale. Identify the accountable reviewer/approver and dated evidence under your procedure.
  • Revalidation criteria and approval: Record the supported decision, restrictions, unresolved issues and rationale. Identify the accountable reviewer/approver and dated evidence under your procedure.

Define the specific system, service, change, population, and intended use.

Complete each field from available records and accountable interviews; record unknowns rather than guessing.

Link conclusions to affected GxP functions, failure scenarios, controls, evidence, and approval.

Adapt the structure to the organization’s approved procedures and document-control process.

Completed fictional example

Fictional teaching example; this is not an executed or approved validation record.

FieldCompleted example
Change and authoritative informationFictional provider model quality update and parser 3.2
Approved intended useSource-linked protocol review comments; no approval authority
Affected AI and GxP functionsFinding generation and scanned-table parsing
Prompt, source, retrieval, or parser impactParser changes table extraction; prompt and corpus unchanged
Model or version impactProvider label is minor but exact behavior may change
Guardrail, workflow, tool, or role impactNo action permissions; source-open requirement retained
Acceptance-criteria impactCritical-miss criteria by format remain controlling
Regression and critical-miss evaluationLocked reference set shows two new critical scanned-table misses
Human-review impactSource inspection falls under representative workload
Rollback, monitoring, and stop criteriaRetain prior path; exclude scanned tables; monitor critical misses and source opens
Release decisionApprove supported text documents only after controls pass
Revalidation criteria and approvalModel, parser, prompt, source, role, threshold, or critical incident; Quality approval

Blank template

System / record ID: ____________________

Prepared by / date: ____________________

Required review / approval under local procedure: ____________________

FieldYour entry
Change and authoritative information____________________
Approved intended use____________________
Affected AI and GxP functions____________________
Prompt, source, retrieval, or parser impact____________________
Model or version impact____________________
Guardrail, workflow, tool, or role impact____________________
Acceptance-criteria impact____________________
Regression and critical-miss evaluation____________________
Human-review impact____________________
Rollback, monitoring, and stop criteria____________________
Release decision____________________
Revalidation criteria and approval____________________
Relevant regulations and guidance

These sources apply within their stated scope. The suggested worksheet fields, test designs and fictional decisions are practitioner recommendations, unless a source requirement is expressly identified. Completing a template does not establish compliance.

Computer Software Assurance for Production and Quality Management System Software ↗

Regulatory guidance / GMP guideline · United States · February 2026

Scope: Medical-device manufacturers assuring software used in production or their quality management system.

Relevance: For medical-device production or QMS software, supports selecting assurance activities from intended use, risk and available evidence. It is nonbinding guidance and does not determine other sectors’ obligations.

Status: Final / published · Checked 2026-09-21

Publication identity, scope and status checked against the linked official source. This is not an independent audit of every retained guide statement.

Read source details and applicability →

EudraLex Volume 4, Annex 11 — Computerised Systems ↗

Regulatory guidance / GMP guideline · European Union · January 2011 revision

Scope: Computerised systems supporting activities in the applicable EU pharmaceutical GMP context.

Relevance: For computerised systems used in EU GMP activities, informs lifecycle, supplier and record controls. Confirm applicability to the actual activity; the example does not establish it.

Status: Final / published · Checked 2026-09-21

The Commission index confirms the January 2011 operative revision. The linked PDF could not be retrieved in this check; retained detailed section mappings need review against an authorized copy.

Read source details and applicability →

Artificial Intelligence Risk Management Framework (AI RMF 1.0) and NIST AI 600-1 ↗

Industry guidance / framework · United States · AI RMF 1.0 (2023); GenAI Profile (2024)

Scope: Cross-sector AI governance and risk management, including generative AI.

Relevance: A voluntary framework for describing AI risks, evaluation and ongoing management. Its suggested practices are not regulatory requirements.

Status: Final / published · Checked 2026-09-21

Publication identity, scope and status checked against the linked official source. This is not an independent audit of every retained guide statement.

Read source details and applicability →
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