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The article outlines a three-use-case approach emphasizing digital media management, faculty disclosure management, and outcomes reporting, while framing AI adoption with an AI-first, inquisitive, and compliant mindset. 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Akunurua, Andrew Dodgsonb, Danielle D. Milbauerc and Anne Perchd  \naClient Services, Cadmium, Philadelphia, USA; bContinuing Education, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Wake Forest, USA; cContinuing Medical Education, NYU Grossman School of Medicine, Warwick, USA; dThe University of Texas MD Anderson Cancer Center, Houston, USA  \nARTICLE HISTORY Received 8 August 2024; Revised 20 August 2025; Accepted 23 September 2025  \nKEYWORDS Continuing Professional Development (CPD); Generative AI; Continuing Medical Education (CME); Faculty disclosure management; SEO; Website design; Outcomes reporting  \nIntroduction  \nThe growing acceptance and application of Artificial Intelligence (AI) and Generative AI (Gen AI) across industries provides an opportunity for Continuing Professional Development (CPD) professionals to expand their skillset out of a soon-to-be need for more efficiency and/or an expanded role.There are many indicators of this prediction for a decrease in employment across industry sectors that utilise AI with certain demographics being affected more than others [2,5,6].“Whitecollar” or more aptly termed, knowledge workers [7], are especially vulnerable to these changes. While the challenges of this field are well known to the reader and support the need for the roles of CPD providers in general; AI has established itself as a truly disruptive technology that has affected nearly every major industry in which even this one is not immune. A 2025 report by McKinsey found that 92% of companies plan to invest more in AI over the next 3 years with only 1% believing their investments have reached maturity [ 1]. CPD professionals are equipped with a wide array of skills with arguably one of  \nthe most proficient being administrative management.  \nA hybrid human and AI collaboration on projects provides CPD professionals with an expert level assistant in virtually any field and skill set. This collaboration assumes that AI is not simply a replacement but a tool that requires a wielder. We will cover three use cases in this report focusing on digital media management, faculty disclosure management and outcome reporting. We hope these use cases demonstrate both the value and limitations of Generative AI tools further  \nencouraging CPD providers to employ an AI-first mindset that is inquisitive, balanced, and compliant.  \nUse Case 1: Digital Technology and Media Management  \n1A: Search Engine Optimisation (SEO)  \nSEO is a broad skill, and incorporates marketing research, website development, and content creation to make it easier for search engines to index and catalogue a webpage. Given the inherently competitive nature of SEO, CPD professionals would benefit from understanding and using the most sophisticated AI tools available for tasks that relate to SEO.  \nSEO: Common Use Cases  \nGenerative AI supports SEO by identifying competitive keywords, drafting course/page content with keyword considerations, and reviewing HTML to suggest tags, meta descriptions, alt text, and mobile optimisation improvements.  \n1B: Website Design with HTML/CSS Code Generation  \nGen AI aids web platforms by generating code, creating custom interfaces, building responsive tables, checking code for SEO/accessibility compliance, and troubleshooting or answering coding questions for userfriendly design.  \nSample prompt results have been added below.  \nCONTACT Raja V. Akunuru  [akunuru.rsekhar9@gmail.com](akunuru.rsekhar9@gmail.com)  Client Services, Cadmium, 2310 Macis Circle, Warrington, PA, 18976, USA © 2026 The Author(s) . Published by Informa UK Limited, trading as Taylor & Francis Group.  \nThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ([http://creativecommons.org/licenses/by-nc/4.0/](http://creativecommons.org/licenses/by-nc/4.0/)), which permits unrestric","cbCaioLppk35k04p","https://ap.wps.com/l/cbCaioLppk35k04p","pdf",5992608,"English","# Introduction\n# Use Case 1: Digital Technology and Media Management\n## Search Engine Optimisation (SEO)\n## Website Design with HTML/CSS Code Generation\n## Personalise Content for Various Learner Segments\n## Considerations\n## Further AI Augmentation\n# Use Case 2: CM","[{\"question\":\"How does the article position generative AI within CME and CPD work?\",\"answer\":\"It frames generative AI as a tool for hybrid human-and-AI collaboration rather than a simple replacement, aimed at improving efficiency and expanding CPD professionals’ roles. The focus is on value plus limitations, with an AI-first but compliant mindset.\"},{\"question\":\"What are key ways generative AI supports SEO in the article?\",\"answer\":\"It describes AI-supported identification of competitive keywords, drafting content with keyword considerations, and reviewing HTML to suggest tags, meta descriptions, alt text, and mobile optimization improvements.\"},{\"question\":\"What risks or considerations does the article highlight when using AI-generated digital marketing content?\",\"answer\":\"It warns about keyword stuffing, over-optimization that can reduce quality or business relevance, and insufficient transparency into the AI tool’s rationale that may lead to poor SEO decisions.\"}]","Turbo Charge Your CME and CPD Operations Using Generative AI Tools | PDF",1790746246,18]