Available for orders from 15 Feb 2026.
Available for orders from 15 Feb 2026.
A definitive playbook for leaders designing, governing, and scaling autonomous, AI-driven enterprises with discipline, trust, and measurable outcomes.
Translating high-level board strategy directly into machine-executable autonomous agents.
Building governance, trust, and real-time auditability into every AI interaction.
Moving beyond pilots to measure the true economic impact of agentic scale.
Created as a practical guide for business leaders, Agentic Advantage explains how organizations can move beyond AI experimentation and build agentic systems that deliver measurable, trustworthy results at scale.
You’ll uncover:
• Why many AI initiatives fail to create real business impact
• How Agentic AI moves from assisting humans to safely making decisions
• The role of decision flow and cross-functional alignment in unlocking value
• Why governance, transparency, and ethics are essential for sustainable AI
• The metrics leaders should track to prove speed, quality, and trust
• A clear execution path to turn pilots into repeatable, enterprise outcomes
A clear, practical view of how Agentic AI is reshaping enterprise decision-making.
Learn how executives, technology leaders, and transformation teams can move beyond experimentation and prepare for a future where AI systems act with speed, accountability, and trust.
🔍 Clear frameworks grounded in real enterprise operating models
🧠 Leadership perspectives shaped by boardroom and P&L realities
📊 Practical metrics and visuals that connect AI decisions to business outcomes
Agentic Advantage was born from a simple but persistent gap Sadagopan Singam observed across global enterprises: while organizations were rapidly adopting GenAI, very few were translating that capability into durable, enterprise-level outcomes. Pilots were plentiful. Proofs of concept were impressive. Yet scale, trust, and measurable impact remained elusive.
Across three decades of building and governing large enterprise platforms, Sadagopan witnessed multiple technology waves—from ERP and SaaS to cloud and digital transformation—follow similar patterns. Innovation moved faster than operating models. Tools arrived before governance. Automation preceded accountability. GenAI, he realized, would be no different—unless leaders deliberately changed how autonomy itself was designed.
