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Leading the Agentic Transformation: A Blueprint for the AI-Native Enterprise
The transition from deterministic API integrations to autonomous, goal-oriented agentic workflows represents a fundamental shift in enterprise architecture. As organizations move beyond simple LLM implementations toward "Agentic Transformation," the infrastructure layer must evolve to manage the unique challenges of non-deterministic traffic, long-running reasoning loops, and dynamic tool-calling. This session provides a high-level architectural blueprint for building a resilient, AI-native enterprise. We will examine the critical technical pillars required to support this shift, including:
- Orchestration & Interoperability: Navigating the emergence of standardized protocols for agent-to-tool communication.
- Autonomous Governance: Implementing identity-aware, real-time guardrails that govern machine-to-machine reasoning without stifling agent autonomy.
- The Intelligence Layer: Moving from passive traffic management to active semantic routing and prompt-aware optimization.
Designed for technology leaders and architects, this session outlines a strategic roadmap for the next generation of connectivity—where the infrastructure doesn't just pass data, but actively secures and optimizes the flow of intelligence across a global ecosystem.

Hugo Guerrero
Principal Technical Product Lead
Kong Inc
For more than twenty years, I have helped organizations turn ideas into scalable and reliable software, working as a Developer, Architect, and Software Development Manager across different verticals from financial services to logistics and transport. In my current role I focus on APIs, AI driven capabilities, and event based architectures, helping teams modernize how they build, connect, and operate software. I work closely with engineering and product groups to guide adoption, improve developer experience, and shape the technical narrative around these emerging patterns.