AI Consent and Governance

Last updated: April 2026

1. AI Is Assistive, Not Autonomous

In-SpectPro provides AI-assisted draft language and workflow support. Inspectors remain responsible for final findings, safety statements, measurements, and code references.

2. Approved Knowledge Base

AI responses are grounded in approved guidance such as defect rules, code references, section-specific policies, and organization-approved templates.

3. Retrieval Before Generation

Before generating output, the system retrieves relevant approved examples and standards. If support is weak, the system should ask for clarification or return a reviewer-needed placeholder.

4. Correction and Learning Loop

Inspector edits may be logged as before/after examples with correction category labels. Approved corrections can update reusable templates and improve future drafting quality.

5. Style and Fact Separation

The platform separates factual references from inspector style preferences to reduce unsupported claims and maintain report consistency.

6. Safety Controls

High-risk findings may require explicit approval, and unsupported claims are blocked from final output by validation checks and review steps.

7. Consent and Data Use

Organizations should disclose AI assistance to inspectors and define whether model-improvement features are enabled. Enterprise contracts can restrict data use to account-scoped operations only.