AI Boundary Model
ARQEN uses AI as an advisory assistant inside an evidence-first quality operating loop. It is not a black-box decision maker and does not replace responsible quality personnel.
In the platform, AI drafting is meant to reduce blank-page work across inspection plans, NCR/CAPA reviews, supplier and audit follow-up, ARQdocs packets, reporting, and management review. The output is draft text for a person to edit, apply, reject, or turn into a Review Action. It is never autonomous approval or release.
Deterministic quality logic comes before advisory model output.
AI can draft review text, packet sections, follow-up rationale, and summaries from source context, but those drafts remain editable and human-reviewed.
AI-generated text is not compliance truth, approval, release, certification, or closure authority.
Human quality personnel retain disposition, approval, release, customer, and regulatory responsibility.
Advisory output should carry source context and disclose when the supporting information is incomplete.
If source context or evidence is missing, ARQEN should say so instead of inventing a successful result.
Model access, provider configuration, use history, and security controls are governed as part of the customer environment.