Artificial Intelligent Quality Management System
A Deterministic Graph-Governed Architecture
Artificial Intelligent Quality Management System
A Deterministic Graph-Governed Architecture
AIQMS™: Zero Hallucination Risk
Unlike other AI tools, AIQMS™ does not hallucinate because it is not a generative or probabilistic model, it is a deterministic, compliance-driven system architecture powered by four interdependent AI engines: SHIVA (Systematized Hierarchical Inference and Validation Architecture), TARA (Traceability Alignment and Regression Analysis), ANIA (Analytical Narrative for Insight and Alerts), and RIMA (Risk-Informed Model Adjustment). Unlike large language models such as ChatGPT or Grok, which predict outputs based on statistical token distributions across unstructured corpora, AIQMS relies on structured, schema-constrained input derived from authenticated project documents.
- No unverified answers – Every AIQMS output is constrained by its database schema, breakdown structure mappings, and user role permissions.
- No speculative text generation – AIQMS does not “guess.” It reports, validates, or alerts based on real inputs, tracked changes, and closure status.
- No memory drift – Unlike LLMs that suffer from context window limits or prompt contamination, AIQMS continuously references its persistent system of records.