The book begins with foundational concepts, core principles, and architectural frameworks that guide the development of resilient and intelligent automation ecosystems. It then presents sector-specific case studies from banking, healthcare, manufacturing, and agriculture, showcasing real implementations, measurable impact, and lessons learned. Later chapters address data governance, security, operational risks, enabling technologies, and emerging trends, concluding with a strategic roadmap for sustaining automation-driven transformation.

Key Features:

· Explains core principles and architectural foundations of hyper automation
· Demonstrates real-world case studies across major industries
· Provides actionable frameworks and implementation strategies
· Addresses governance, security, risks, and future trends
· Bridges academic insights with practical, enterprise-focused guidance