The Expert Validation Framework (EVF): Enabling Domain Expert Control in AI Engineering

TL;DR

The paper introduces the Expert Validation Framework (EVF), a systematic approach that empowers domain experts to control, validate, and monitor GenAI systems in enterprise environments, ensuring quality and trust.

Contribution

It presents a novel framework that integrates expert-driven specification, validation, and monitoring processes for GenAI deployment in organizations.

Findings

Framework enables expert control over GenAI systems

Supports continuous validation and monitoring

Enhances trust and quality assurance in enterprise AI

Abstract

Generative AI (GenAI) systems promise to transform knowledge work by automating a range of tasks, yet their deployment in enterprise settings remains hindered by the lack of systematic quality assurance mechanisms. We present an Expert Validation Framework that places domain experts at the center of building software with GenAI components, enabling them to maintain authoritative control over system behavior through structured specification, testing, validation, and continuous monitoring processes. Our framework addresses the critical gap between AI capabilities and organizational trust by establishing a rigorous, expert-driven methodology for ensuring quality across diverse GenAI applications. Through a four-stage implementation process encompassing specification, system creation, validation, and production monitoring, the framework enables organizations to leverage GenAI capabilities while maintaining expert oversight and quality standards.