Practitioner template

AI Change Assessment

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

Author
CSVtoCSA editorial
Published
12 September 2026
Last reviewed
2026-09-12
Version
1.0
Content type
Template
Primary references
Apply the sources and approved procedures relevant to the system
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Blank template

  1. Change and authoritative information
  2. Approved intended use
  3. Affected AI and GxP functions
  4. Prompt, source, retrieval, or parser impact
  5. Model or version impact
  6. Guardrail, workflow, tool, or role impact
  7. Acceptance-criteria impact
  8. Regression and critical-miss evaluation
  9. Human-review impact
  10. Rollback, monitoring, and stop criteria
  11. Release decision
  12. Revalidation criteria and approval

Completed fictional example

Fictional teaching example: This is not an executed or approved validation record.

Change and authoritative information
Fictional provider model quality update and parser 3.2
Approved intended use
Source-linked protocol review comments; no approval authority
Affected AI and GxP functions
Finding generation and scanned-table parsing
Prompt, source, retrieval, or parser impact
Parser changes table extraction; prompt and corpus unchanged
Model or version impact
Provider label is minor but exact behavior may change
Guardrail, workflow, tool, or role impact
No action permissions; source-open requirement retained
Acceptance-criteria impact
Critical-miss criteria by format remain controlling
Regression and critical-miss evaluation
Locked reference set shows two new critical scanned-table misses
Human-review impact
Source inspection falls under representative workload
Rollback, monitoring, and stop criteria
Retain prior path; exclude scanned tables; monitor critical misses and source opens
Release decision
Approve supported text documents only after controls pass
Revalidation criteria and approval
Model, parser, prompt, source, role, threshold, or critical incident; Quality approval