AI governance and verification platform focused on independent evaluation, correction, and attestation of AI-generated outputs in production environments. The platform is designed for enterprises deploying AI in legally, operationally, or reputationally sensitive contexts where incorrect or misaligned outputs carry real-world consequences. The core system consists of:
? Verification Alignment Protocol (VAP) - the execution and evaluation engine (proprietary and trademarked)
? Dataset Vault- the proprietary alignment reference layer that informs evaluations (trademarked name)

Most AI governance efforts focus on:
? Model training
? Policy documentation
? Internal testing Very few systems address the actual point of failure: What happens when AI outputs are generated in live, production workflows?
This System addresses this gap by providing:
? Independent verification of AI behavior
? Evidence-based auditability
? Corrective controls before outputs reach users

High-Level Flow
1. Client AI system generates an output (LLM, agent, copilot, etc.)
2. Output is routed through the VAP Gateway
3. VAP evaluates the output using structured checks
4. Outcome is either:
? Approved
? Corrected / softened
? Withheld / flagged
5. All decisions are logged as attestable events
6. Results are available via API or dashboard for review