Anjali Garg is a patent-holding AI strategist and technology entrepreneur with over 10 years
of experience designing and delivering intelligent automation in complex, real-world
environments. She is recognised for building intelligent automation that augments human
judgment and scales reliably in production.
Anjali’s research on AI agent-driven workflow automation is published as a dedicated
chapter titled “A Modular LLM-Based Agent System for Data Workflow Automation” in the
Springer Nature book AI Revolution: Research, Ethics and Society (ISBN: 978-3-032-12313-
8)
Chapter link: https://link.springer.com/chapter/10.1007/978-3-032-12313-8_19
Her work bridges academic rigour and real-world execution, enabling organisations to move
from experimental AI initiatives to durable, production-grade intelligent automation.
Alongside her enterprise experience, Anjali applies her research and systems thinking
through independent product and platform development, exploring how intelligent
automation can power intent-aware interactions, semantic decision-making, and real-time
insights within professional ecosystems. This work demonstrates her ability to translate
theory into operating systems that deliver measurable outcomes.
Anjali’s contributions to technology and social impact have been recognised through multiple
honours and awards, including recognition associated with UNICEF-led initiatives, reflecting
her commitment to responsible, human-centred innovation.
Across her career, Anjali has worked within large, complex organisational environments,
advising on intelligent automation strategy, AI governance, and system-level design
decisions that directly influence scalability, trust, and long-term adoption. She brings a
disciplined, systems-level perspective grounded equally in research and execution.
As a speaker, Anjali is known for delivering clear, high-impact insights that resonate with
both technical and business leaders, helping organisations design, govern, and scale
intelligent automation that works in practice.