Rajni Jaipaul
Digital Transformation AI Specialist
Rajni Jaipaul is an accomplished AI enthusiast and program manager with over 20 years of experience leading multimillion-dollar technology transformation initiatives across diverse industries. Rajni specializes in identifying and implementing AI solutions that drive measurable operational excellence.
With an MBA from UT Austin's McCombs School of Business and extensive experience at leading organizations including Dell, Accenture, and Fiserv, Rajni brings a unique perspective to AI implementation strategy. His background spans supply chain optimization, revenue cycle management, and complex systems integration—giving him deep insight into the operational challenges that AI can solve across industries.
Rajni has developed practical frameworks for helping organizations navigate the transition from traditional workflows to intelligent, automated systems. His "3 Rs Framework" for identifying AI opportunities focuses on Repeatable processes, Resource-intensive tasks, and Rule-based operations—a systematic approach that has helped teams uncover high-impact use cases while building sustainable AI programs through incremental wins.
Rajni is passionate about bridging the gap between AI technology and real-world business value. He specializes in helping organizations prioritize AI investments based on cost impact, accuracy improvements, and productivity gains, ensuring that digital transformation initiatives deliver tangible results rather than just technological novelty.