
ClearEdge AI designs Corporate GPT architectures that reduce errors, enforce compliance, and produce audit-ready decisions across regulated industries.
University of Florida • Johns Hopkins Bloomberg School of Public Health • Technical University of Berlin • Global Health & AI Systems
Organizations operating in regulated environments face critical risks:
• Inconsistent decision-making that exposes organizations to audit failures
• Documentation errors costing $10K–$300K+ in compliance violations
• Lack of structured AI governance leading to uncontrolled risk and revenue leakage
Without a structured compliance architecture, every AI output is a liability.
We don't build chatbots. We engineer Corporate GPT architectures that reduce error, enforce compliance, and produce audit-ready outputs across your organization.
Input → RAG Retrieval → AI Reasoning → Compliance Rules → Decision Output → Audit Log
Data Layer → Intelligence Layer (RAG) → Decision Layer → Compliance Layer → Integration & Security
Healthcare & Behavioral Health | Legal & Tax Services | Financial Services & Operations | Real Estate & Transactions
ClearEdge AI delivers structured AI compliance systems across all regulated industries — built to reduce liability and produce audit-ready decisions.
Dr. Moise Adangfo, PhD
AI Architect | Compliance Systems Engineer | Founder of ClearEdge AI
Education: University of Florida • Johns Hopkins • Technical University Berlin
Focus: Economics • Engineering • Public Health • AI Systems
Dr. Adangfo has built AI governance systems for 4 regulated companies and brings a unique blend of technical depth and compliance expertise to every engagement.
C — Capture (Data Control)
L — Label (Risk Classification)
E — Evaluate (Policy Validation)
A — Act (Decision Execution)
R — Record (Audit & Governance)
An executive framework for AI governance in regulated environments. Every ClearEdge AI engagement is built on the CLEAR Method™.
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