Anjali Garg

Anjali Garg is a patent-holding AI strategist, technology entrepreneur, published researcher, and TechEx speaker with over 10 years of experience designing and scaling intelligent automation in complex enterprise environments.

Her work focuses on moving AI from experimentation into production, with a strong emphasis on agentic AI, governance, retrieval quality, human oversight, workflow reliability, and practical enterprise adoption.

Anjali’s research on AI agent-driven workflow automation is published as a dedicated chapter, “A Modular LLM-Based Agent System for Data Workflow Automation,” in the Springer Nature book AI Revolution: Research, Ethics and Society.

She brings a rare blend of academic rigor, systems thinking, and real-world execution, helping organizations understand how intelligent automation can augment human judgment, improve decision-making, and scale responsibly. Her work also extends into independent product and platform development, exploring how AI can power intent-aware interactions, semantic decision-making, and real-time insights across professional ecosystems.

Anjali has contributed to technology and social impact initiatives recognized through multiple honors and awards, including recognition associated with UNICEF-led initiatives. As a speaker and contributor, she is known for translating complex AI concepts into clear, practical insights for both technical and business leaders.