Don Shin

CrossComm

BIO

Don Shin is the Founder and CEO of CrossComm - an award-winning emerging technology consultancy and product development studio with a 25+ year history of deploying innovative technologies to solve the toughest problems and challenges. Under Mr. Shin’s leadership, the Durham, NC-based company has been recognized as one of the leading mobile and AR/VR app developers in the region by clutch.co, and has been nationally recognized as the Minority Technology Firm of the Year (2015) by the US Dept. of Commerce. Mr. Shin has been a passionate advocate for human-centric computing throughout his career, and is currently interested in exploring the future of XR, spatial computing, and generative AI - and leveraging app innovation to advance social good.

TITLE

Empowering Your Product with Agentic AI: What Product Leaders Need to Know About Model Context Protocol (MCP)

ABSTRACT

As AI evolves beyond simple chatbot experiences, a new class of LLM-powered applications is emerging—ones that act on behalf of users, make smart decisions, and drive real business outcomes. These autonomous, goal-oriented systems—often called Agentic AI—require more than just powerful models; they need access to the right data and context at the right time.

That’s where Model Context Protocol (MCP) comes in.

MCP is a rising interoperability standard that enables AI agents to plug into your product’s existing ecosystem—securely drawing on your APIs, databases, knowledge bases, and even legacy systems. It’s how product teams can turn foundational AI models into real value: smarter features, more personalized user experiences, and operational efficiency.

In this session, you’ll learn how MCP helps product owners and business leaders unlock the next level of AI capability—without reinventing your tech stack or compromising on governance.

Attendees will come away with:

- A clear understanding of what MCP is—and why it matters for delivering smarter, context-aware AI experiences within your product

- Practical examples of how MCP can extend existing systems to power next-gen features with minimal friction

- Insights on how to think about AI extensibility and modularity from a product strategy perspective

- A live demo showing how MCP powers an intelligent product workflow—and what business outcomes it drives

- Strategic tips for identifying where agentic AI can add value in your roadmap, and how MCP can accelerate that path

Whether you’re building internal tools, SaaS products, or customer-facing platforms, this talk will give you a practical framework for thinking about Agentic AI in your product—and the tools you’ll need to make it work.