Designing Tools for Non-Technical Professionals
in Regulated Industries
PEER REVIEWED PAPER
By Rishiraj Kohli
Ph.D. Candidate
University of the Cumberlands
Carmel, Indiana, USA
Abstract
Across the globe, AI (Artificial Intelligence) is revolutionizing business, but industries that fall under strict regulation are still facing many impediments in terms of compliance, worries related to morality, and inaccessibility for individuals who are not technically oriented. The majority of AI tools are put in place for the most skilled users, thus, the rest which consists of compliance officers, healthcare administrators, and other domain specialists are left out. This writing drafts a roadmap which comprises usability, interpretability, and compliance-by-design as the fundamental principles that could aid the breakthrough of AI in regulated scenarios.
We hold the view that the use of the responsible AI will not only be of the technical strength kind, but it will also require the easy-to-use, communication-friendly, and embedded safeguards out of which the last one is by default. For instance, a healthcare non-technical compliance officer through the help of AI can be able to analyze safety reports of patients and at the same time keep the audit readiness. The key point of this research is the design of a framework which is a balance between accessibility and accountability that represents the real possibilities of enterprises, professionals, and policymakers as a result of this study.
This study addresses the barriers that limit AI adoption in regulated industries by introducing a framework grounded in usability, interpretability, and compliance-by-design. The research advances responsible AI by making tools accessible to non-technical professionals such as compliance officers and healthcare administrators, ensuring accountability while enabling enterprises and policymakers to harness AI with confidence.
Keywords: Artificial Intelligence (AI), Democratization of AI, Compliance-by-design, Usability, Interpretability, Regulated industries
- Introduction
Context & Motivation
AI is currently a major component of digital transformation in all sectors. It enables them automate their processes, derive insights and better decision making. This potential is particularly appealing in highly regulated industries, such as healthcare, finance, insurance and law. In this case, high throughput of the information could substantially increase the efficiency and accuracy (Dwivedi et al., 2021). But the acceptance of AI in these fields is a continued challenge. The majority of AI tools are developed for technical professionals, and would assume a certain level of coding, data science or machine learning expertise to use effectively (Herm et al., 2022). This design decision ignores those professionals in the domain who know they need AI and know how to use AI effectively, but aren’t able to program tools of today.
More…
To read entire paper, click here
How to cite this paper: Kohli, R. (2026). Expanding Access to AI in the Enterprise: Designing Tools for Non-Technical Professionals in Regulated Industries; PM World Journal, Vol. XV, Issue V, May. Available online at https://pmworldjournal.com/wp-content/uploads/2026/05/pmwj164-May2026-Kohli-Expanding-Access-to-AI-in-the-Enterprise.pdf
About the Author
Rishiraj Kohli
Indiana, USA
Rishiraj Kohli is a Senior IT Project Manager at Schwarz Partners, where he leads enterprise technology and digital transformation initiatives across logistics, packaging, and regulated industries. He has more than a decade of experience managing multimillion-dollar IT and AI-driven programs in insurance, healthcare, and manufacturing. Rishiraj is a Ph.D. candidate in Information Technology with a concentration in Artificial Intelligence at the University of the Cumberlands (expected 2027) and holds professional credentials as a Project Management Professional (PMP) and Certified ScrumMaster (CSM). His work focuses on bridging governance, compliance, and innovation by enabling non-technical professionals to responsibly adopt AI technologies. He has authored multiple scholarly and professional articles on AI adoption, project governance, and risk management, and continues to contribute thought leadership at the intersection of project management and emerging technologies. rishirajkohli@gmail.com | rkohli5848@ucumberlands.edu
