The agentic AI landscape is saturated with PoCs and demos composed of sophisticated LLMs and, autonomous agents, and complex workflows that promise to change how enterprises work. Yet, organizations are confronted with an uncomfortable truth that reshapes their implementation strategy.

Thats where the 80/20 reality comes to surface: while 20% of the effort involves AI model selection and agent design, the remaining 80% is a data integration problem that determines whether your agentic system becomes business-critical infrastructure or remains an experimental lab test.

This session presents an architects guide to designing agentic systems that bridges technical architecture and business strategy. Rather than starting with agent capabilities and retrofitting integration afterward, successful deployments begin by treating agentic AI as fundamentally an integration challenge from day one. Attendees will walk away with
- A practical architectural pattern that establishes an event-driven architecture infrastructure before selecting your first agent framework
- How to treat orchestration as a first-class citizen where collective reasoning and coordinated decision-making become the primary value drivers.
- Non negotiable enterprise pillars: infrastructure, governance, compliance, observability, and security
- Practical examples of cross-system coordination

Whether you're an engineer designing multi-agent systems or a technical leader planning enterprise AI adoption, you'll leave with a pragmatic framework for navigating the 80% problem that determines whether agentic AI delivers measurable business impact.