
Publications
Research from the nVAIRI Research Institute

Evidence Intelligence, Audit Readiness, Regulatory Compliance, Compliance Operations, Compliance Technology, Research Report
The Evidentiary Chain
Dr. Frank Miceli
Zach Trublood
August 24, 2026
Abstract
This paper examines how the revised NERC CIP Reliability Standards increase the importance of relationships among compliance evidence. It introduces the concept of the evidentiary chain, connecting requirement, scope, decision, execution, evidence, review, retention, and regulatory demonstration, and explains how evidence intelligence can help organizations maintain defensible regulatory readiness.

AI Governance, Agentic Compliance, Evidence Intelligence, Audit Readiness, Regulatory Compliance, Risk Management, Compliance Operations, AI Risk & Assurance, Compliance Technology, Research Report
AI-Enabled GRC: The Human Accountability Boundary
Dr. Frank Miceli
Zach Trublood
August 10, 2026
Abstract
AI is increasingly being used to support compliance, audit, risk, and evidence-intensive GRC activities, but faster analysis does not eliminate the need for accountable human judgment. This paper examines where AI can provide practical value in evidence review, control mapping, gap identification, and draft analysis; the risks associated with unsupported or over-relied-upon AI outputs; and the governance controls needed to keep AI-assisted GRC defensible. It defines the human accountability boundary as the point at which AI may support the work, while qualified professionals remain responsible for interpretation, approval, risk acceptance, regulatory judgment, and audit response.

Research Report
Agentic Compliance: The Next Operating Model for AI-Enabled Governance, Risk, and Compliance
Dr. Frank Miceli
Zach Trublood
August 4, 2026
Abstract
Agentic Compliance represents the next operating model for AI-enabled governance, risk, and compliance. This paper examines how AI agents can support compliance operations by interpreting requirements, locating and evaluating evidence, identifying gaps, and coordinating workflow activities while preserving human oversight and accountability. It introduces the nVerumAI Agentic Compliance Framework™ as a practical model for implementing AI-assisted compliance in a controlled, reviewable, and audit-defensible manner.

Evidence Intelligence
The Unstructured Evidence Problem
Why AI Is Transforming Compliance Management
Dr. Frank Miceli
Zach Trublood
July 1, 2026
Abstract
The Unstructured Evidence Problem: Why AI Is Transforming Compliance Management explains why compliance teams often struggle less with whether evidence exists and more with finding, validating, and explaining it during audits or regulatory reviews. The paper introduces Evidence Intelligence as a practical way to use AI to make compliance evidence easier to find, understand, organize, and reuse while keeping final judgment with compliance professionals.