The gap between AI experimentation and enterprise transformation has never been wider. While 85% of organizations are piloting AI initiatives, fewer than 20% have achieved meaningful scale. The difference? Leaders who understand that agentic AI—autonomous systems that reason, plan, and execute complex tasks—requires an entirely new operating model, not just better technology.

Most enterprises are stuck treating AI as a tactical tool rather than a strategic capability. The result: isolated pilots that never scale, governance frameworks that can't keep pace with autonomous systems, and organizational structures designed for human decision-making struggling to accommodate AI agents that operate in real-time. Meanwhile, early adopters are already capturing 5% higher EBIT through faster resolution times, reduced manual escalations, and operational efficiency gains that compound across their business.

In this white paper, you'll discover:

• The architectural foundations required to deploy autonomous AI agents at enterprise scale—including the critical differences between traditional automation, generative AI, and truly agentic systems
• A governance framework for balancing autonomy with control, ensuring security, explainability, and compliance while allowing agents to operate effectively across business processes
• Proven strategies for redesigning operating models to enable seamless human-AI collaboration, real-time strategic decisions, and continuous adaptation as agent capabilities evolve
• Implementation blueprints from CTOs who have successfully transitioned from isolated pilots to enterprise-wide deployment, including lessons learned and common pitfalls to avoid

The window for building competitive advantage through agentic AI is open now, but it won't remain open indefinitely. Download this playbook to equip yourself with the strategic blueprint for navigating this transformation—and positioning your organization to lead in the agentic enterprise era.