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"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh PalThe author is an MBA-trained technology strategist, AI researcher, and systems-thinking practitioner who works at the intersection of artificial intelligence, healthcare, governance, and the public sector. He has advised organizations on the responsible use of data and emerging technologies in governance. In this book, he weaves together research, on-the-ground observations, and practical frameworks to explore how India can move from slogans to accountable, data-driven governance by 2047.Read More...
The author is an MBA-trained technology strategist, AI researcher, and systems-thinking practitioner who works at the intersection of artificial intelligence, healthcare, governance, and the public sector. He has advised organizations on the responsible use of data and emerging technologies in governance. In this book, he weaves together research, on-the-ground observations, and practical frameworks to explore how India can move from slogans to accountable, data-driven governance by 2047.
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Most enterprise AI agent projects stall after the pilot. Demos impress. Production kills. The gap between an agent that works in a sandbox and one that survives compliance, cost scrutiny, and organizational friction is where most initiatives quietly die. This book closes that gap.
The Agentic Enterprise Strategy is the definitive Agentic Engineering playbook, the discipline for designing, building, governing, and operating autonomous, goal-driven AI sys
Most enterprise AI agent projects stall after the pilot. Demos impress. Production kills. The gap between an agent that works in a sandbox and one that survives compliance, cost scrutiny, and organizational friction is where most initiatives quietly die. This book closes that gap.
The Agentic Enterprise Strategy is the definitive Agentic Engineering playbook, the discipline for designing, building, governing, and operating autonomous, goal-driven AI systems that work in production. Written for AI engineers, enterprise architects, and strategy leaders, it moves you from prototypes to reliable, scalable systems.
Across five chapters, you’ll master cognitive architecture design, reasoning and planning loops, memory models, tool integration, multi-agent orchestration, and governance frameworks calibrated to enterprise risk. You’ll also learn the AgentOps discipline, evaluation gates, observability, incident response, cost controls, and safe rollout strategies that keep systems reliable long after launch.
Every framework is grounded in production reality: legacy systems, auditability, security, regulatory alignment, and organizational friction. The companion website delivers ten operational artifacts, design checklists, anti-patterns workbooks, governance templates, orchestration blueprints, incident runbooks, and monitoring playbooks, so teams build with proven scaffolding, not from scratch.
No hype. No theory without practice. Just the architecture, operational discipline, and governance playbook for building trustworthy, scalable agent ecosystems in 2026 and beyond.
Most enterprise AI agent projects stall after the pilot. Demos impress. Production kills. The gap between an agent that works in a sandbox and one that survives compliance, cost scrutiny, and organizational friction is where most initiatives quietly die. This book closes that gap.
The Agentic Enterprise Strategy is the definitive Agentic Engineering playbook, the discipline for designing, building, governing, and operating autonomous, goal-driven AI sys
Most enterprise AI agent projects stall after the pilot. Demos impress. Production kills. The gap between an agent that works in a sandbox and one that survives compliance, cost scrutiny, and organizational friction is where most initiatives quietly die. This book closes that gap.
The Agentic Enterprise Strategy is the definitive Agentic Engineering playbook, the discipline for designing, building, governing, and operating autonomous, goal-driven AI systems that work in production. Written for AI engineers, enterprise architects, and strategy leaders, it moves you from prototypes to reliable, scalable systems.
Across five chapters, you’ll master cognitive architecture design, reasoning and planning loops, memory models, tool integration, multi-agent orchestration, and governance frameworks calibrated to enterprise risk. You’ll also learn the AgentOps discipline, evaluation gates, observability, incident response, cost controls, and safe rollout strategies that keep systems reliable long after launch.
Every framework is grounded in production reality: legacy systems, auditability, security, regulatory alignment, and organizational friction. The companion website delivers ten operational artifacts, design checklists, anti-patterns workbooks, governance templates, orchestration blueprints, incident runbooks, and monitoring playbooks, so teams build with proven scaffolding, not from scratch.
No hype. No theory without practice. Just the architecture, operational discipline, and governance playbook for building trustworthy, scalable agent ecosystems in 2026 and beyond.
India is now one of the world’s biggest economies, yet for millions, daily life still feels stubbornly unchanged. Power cuts, toxic air, unsafe streets, crumbling schools, endless queues, and overcrowded hospitals sit uneasily beside headlines celebrating record GDP, unicorn startups, global summits, and “Viksit Bharat 2047.”
How can a country rise so fast on paper while remaining so hard to live in on the ground?
Systems Over Slogans: Fait
India is now one of the world’s biggest economies, yet for millions, daily life still feels stubbornly unchanged. Power cuts, toxic air, unsafe streets, crumbling schools, endless queues, and overcrowded hospitals sit uneasily beside headlines celebrating record GDP, unicorn startups, global summits, and “Viksit Bharat 2047.”
How can a country rise so fast on paper while remaining so hard to live in on the ground?
Systems Over Slogans: Faith, Hope & Hard Numbers takes this contradiction head-on. It argues that India’s problem isn’t dreaming too big, it’s settling too easily for spectacle over substance. Decades of slogan-driven politics, quick fixes, and headline-chasing reforms have eclipsed the unglamorous but essential work of building strong institutions. Through data, vivid on-the-ground reporting, and the stories of families, workers, and young professionals across states and abroad, the book shows why India often applauds symbolic victories while its basic systems continue to falter.
This is not a gloomy book. It is a clear, steady, and constructive one, written for readers who love India enough to examine it honestly. Students, professionals, civil-service aspirants, entrepreneurs, and anyone grappling with India’s uneven development will find a framework to think more critically about the country’s progress. The book argues that real national pride must rest on functioning public schools, breathable air, responsive policing, fair courts, a trustworthy media, and a state capable of delivering everyday dignity, not just rhetorical triumphs.
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