SOP systems contain large amounts of text, dependencies and recurring requirements.
AI can help locate information, compare documents and identify possible inconsistencies.
It should not independently approve a procedure or determine compliance.
SOP Review
A controlled AI-supported SOP review could use a predefined checklist, search the SOP for relevant passages, extract matching text, document source locations, highlight missing or unclear content and present findings to the reviewer.
The reviewer then decides whether the finding is relevant and whether changes are needed.
Comparison of Documents
AI can help compare SOPs, work instructions, Data Management Plans, Statistical Analysis Plans, templates, process descriptions and training materials.
This can reveal inconsistent terminology, missing responsibilities or conflicting process steps.
Gap Analysis
AI may support gap analyses by identifying missing sections, undefined roles, incomplete escalation paths, inconsistent timelines, unclear approval steps, missing documentation requirements and differences between procedures and operational plans.
Training Materials
AI can help create role-specific summaries, training questions, short process explanations, practical examples, checklists and refresher materials.
These materials still need to be checked against the approved SOP.
Inspection Readiness
AI can support inspection readiness by helping teams locate evidence, compare required and available documents, organise checklists, identify missing records, summarise process changes and prepare document inventories.
Traceability
For controlled use, the workflow should document which documents were reviewed, which AI version or tool was used, which prompts or rules were applied, which passages were identified, who reviewed the findings and what decision was made.
Conclusion
AI can reduce the time required to search and compare large document sets.
But quality decisions still require professional judgment.