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Publications

Research from the nVAIRI Research Institute

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Framework Overview

The nVerumAI Agentic Compliance Framework™ is a human-governed operating model that defines how organizations can safely integrate specialized AI agents into compliance operations while preserving professional judgment, accountability, and regulatory responsibility.

 

The Framework is built around four core capabilities:

 

Prepare the Environment
Establish governance, organize evidence, configure AI, and define compliance objectives.

Engage Agentic Workers
Deploy specialized AI agents to support evidence collection, compliance monitoring, audit preparation, reporting, and operational workflows.

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Collect Ambiguous Evidence
Locate, retrieve, validate, and organize structured and unstructured evidence from across the enterprise.

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Generate Evidence Intelligence


Transform evidence into actionable compliance insights, identify gaps, support regulatory response, and improve continuous audit readiness.

 

At the center of the Framework is Human Governance. AI agents assist the compliance process, but human professionals remain responsible for review, approval, regulatory interpretation, and final accountability.

(Click the publication for details and download or use the menu for all publications)

The Evidentiary Chain

Dr. Frank Miceli
Zach Trublood

August 24, 2026

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.

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