Model Context Protocol and AI Agents: A New Blueprint for Enterprise Integration

Enterprise integration has long relied on APIs, message queues, and orchestration platforms. But as organizations move toward AI-enabled ecosystems, these traditional approaches are hitting their limits. This session introduces a new blueprint for enterprise integration—one that leverages the Model Context Protocol (MCP) and AI agents to create dynamic, context-aware interactions across systems. We will explore how MCP enables seamless communication between models and tools, and how AI agents can orchestrate complex workflows with adaptability and intelligence. The session will highlight real-world enterprise use cases, contrast this approach with existing integration patterns, and discuss governance and reliability considerations. Attendees will walk away with a clear understanding of: What MCP is and why it matters How AI agents can transform integration strategies Practical steps to start experimenting in enterprise settings This talk is for architects, technology leaders, and practitioners seeking the next evolution in enterprise integration.
Who is this presentation for?
Architects, technology leaders, and practitioners seeking the next evolution in enterprise integration.
Prerequisite knowledge:
- Familiarity with enterprise integration concepts such as APIs, messaging, or event-driven architecture - Basic understanding of how AI models (like LLMs) are used in enterprise contexts - No prior experience with Model Context Protocol (MCP) required—key concepts will be explained during the session
What you'll learn?
Attendees will walk away with a clear understanding of: What MCP is and why it matters How AI agents can transform integration strategies Practical steps to start experimenting in enterprise settings

Neha is an Enterprise Architect with deep expertise in integration architecture and large-scale system design. She specializes in bridging business needs with modern technology, leading initiatives that bring together diverse teams, platforms, and processes. Over the past several years, she has focused on designing high-impact solutions across the healthcare and pharmacy domains, ensuring reliability, scalability, and measurable business outcomes. Her current interest lies in the evolving role of AI in enterprise architecture—especially in how protocols like Model Context Protocol (MCP) and intelligent AI agents can redefine enterprise integration. Neha is passionate about simplifying complex systems, aligning stakeholders, and shaping future-ready digital estates that balance innovation with practical execution.