Maulik Shah is a Technology Delivery Leader at Stridely Solutions with over 18 years of experience in technology services, engineering delivery, and digital transformation. His experience spans AI, automation, cloud, product engineering, and operational excellence.
Through his work with teams and business initiatives, Maulik is interested in exploring how organizations can rethink collaboration, leadership, and the way work gets done as AI becomes part of the workforce. He believes the real opportunity lies in combining human judgment, technology capabilities, and practical execution to create meaningful business outcomes.
His session focuses on sharing practical perspectives, real-world scenarios, and actionable approaches to help leaders and teams navigate the evolving human-AI workplace.
AI is changing how people work, collaborate, and solve business problems. However, adopting AI tools alone does not guarantee better outcomes. Organizations also need to rethink how work is structured, how responsibilities are shared, and how people and AI collaborate effectively.
This session explores practical approaches to combining human expertise with AI capabilities, redesigning workflows, evolving leadership practices, and maintaining trust and accountability. Through relatable workplace scenarios and an actionable framework, participants will explore how to identify opportunities for human-AI collaboration, make informed decisions about task delegation, and focus on measurable business outcomes.
The session aims to help leaders and teams move beyond AI adoption toward more thoughtful and effective ways of working together.