The Authors
About the Authors
The Latent Organization draws on decades of experience in enterprise technology, process intelligence, and AI-driven transformation.
Manish Garg
Co-founder & CEO, Skan.ai
With decades of experience in enterprise technology and process intelligence, Manish has led organizations through large-scale digital transformations across financial services, insurance, healthcare, and manufacturing.
At Skan.ai, he pioneered the use of work telemetry to reveal how work actually happens inside enterprises — bridging the gap between documented processes and the reality of operational execution. His experience at the intersection of process, people, and technology forms the foundation of the DISCOVER framework.
Manish's vision is simple but radical: organizations don't need to invent new intelligence — they need to discover and scale the intelligence they already have.
Avinash Misra
Co-founder & CTO, Skan.ai
A technologist with deep expertise in AI, machine learning, and enterprise systems, Avinash has spent his career building products that bridge the gap between human expertise and machine intelligence.
At Skan.ai, he architects the technology platform that makes work telemetry possible at enterprise scale — processing billions of work interactions to reveal the patterns, signal paths, and hidden expertise that organizations rely on but have never been able to see.
Avinash brings the technical depth behind the DISCOVER framework, translating organizational concepts into implementable technology architectures that respect privacy, ensure fairness, and deliver measurable results.
About the Book
The Latent Organization is not a product pitch. The DISCOVER framework is vendor-agnostic — it works regardless of which tools or platforms you use.
The book draws on real-world experience across Fortune 500 companies, combining practical methodology with the latest research in organizational intelligence, process mining, and AI deployment.
It is written for practitioners — people who are responsible for making AI work in complex, messy, real-world organizations. Plain English, concrete outcomes, no hype.