Overview
An executive roadmap for designing, governing, and scaling agentic AI
Scaling Agentic AI Systems: From Automation to Autonomous Value Creation provides executives with a structured roadmap for building enterprises powered by AI agents capable of reasoning, acting, and collaborating across complex workflows. Written by Noelle Russell, CEO of the AI Leadership Institute and a technologist with leadership roles at AWS, Microsoft, IBM, and Amazon Alexa, this book delivers frameworks, design patterns, governance models, and transformation blueprints that leaders can apply immediately.
The book addresses the specific challenges executives face when moving from AI assistance to AI autonomy, including safe agent design, multi-agent orchestration, data infrastructure requirements, governance structures, ROI measurement, and workforce readiness. Russell draws on cross-industry experience to provide actionable guidance on architecting agentic systems that operate responsibly at enterprise scale, equipping leaders with strategic and operational tools to build Frontier Firms.
Readers will also find:
- Frameworks for designing AI agents that reason, take action, and collaborate across enterprise workflows with increasing autonomy
- Governance models that address responsible AI oversight, safety protocols, and ethical deployment practices at organizational scale
- Detailed blueprints for multi-agent orchestration covering coordination patterns, data infrastructure planning, and system architecture decisions
- Strategies for measuring the ROI of agentic AI implementations and building a persuasive business case for autonomous systems
- Practical guidance on workforce readiness that helps leaders prepare their teams for effective collaboration with autonomous AI agents
This book serves C-suite executives, VPs leading digital and data transformation, enterprise architects, technology strategists, directors of AI and innovation, management consultants, and board members overseeing responsible AI. It provides the strategic frameworks and governance models needed to architect and scale agentic AI systems within their organizations.
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