The enterprise guide to Agentic AIFrameworks for strategic implementation and value creationAbstract This white paper provides a comprehensive framework for enterprise adoption of Agentic AI, addressing the gap between consumer-grade applications and effective enterprise implementation. It offers a strategic approach to decomposing complex business roles, orchestrating multi-agent systems, determining appropriate autonomy levels, and implementing solutions across industry verticals. Through detailed analysis and case studies, it demonstrates how organizations can move beyond rebranded automation to achieve genuine transformation with measurable business outcomes.Table of contents1. Introduction2. Beyond automation: The agentic AI revolution3. Building reliable, scalable agentic AI solutions4. Strategic implementation framework5. Industry implementation case studies6. Conclusion and forward outlook7. ReferencesIntroduction The promise and reality of agentic AI in enterpriseAgentic AI promises to initiate a new S-curve of innovation, compelling enterprises to incorporate agentic solutions into their transformation agendas. While consumer-grade agentic use cases have demonstrated transformative success, enterprise implementations have shown fewer breakthrough results. Most enterprise applications have merely rebranded existing automation or AI solutions. A significant gap exists in understanding agentic AI and, more critically, in designing and executing effective agentic AI solutions.Objectives of this white paperThis white paper provides a strategic framework for implementing agentic AI with a focus on practical execution. It explores how organizations can decompose complex job roles into agent-suitable tasks, orchestrate multiple agents within a co...
