Plug & Play, Work Smart: Agentic AI Your Enterprise Can Deploy on Day One

Most enterprise AI projects stall in months of setup before delivering anything. BI Matrix's Gyuhwa Jeon shows a faster path: agentic AI that goes to work straight from a database connection.

The promise of agentic AI is simple: AI that understands your business and does the work. The reality, for most enterprises, is months of preparation — data integration, context engineering, custom development — before an agent produces anything useful. At AI Summit Seoul & Expo 2026, Gyuhwa Jeon, Executive Director at BI Matrix, presents a different model.

The session

In "Plug & Play, Work Smart! — Agentic AI Strategies Ready for Immediate Enterprise Deployment," Jeon addresses the central frustration of enterprise AI adoption: agents that don't understand the organic relationships in a company's data or its unique business logic produce results disconnected from what the business actually needs — and fixing that traditionally takes enormous time.

BI Matrix's answer combines a Plug & Play methodology with ontology technology: minimizing complex preparation so an AI solution runs as soon as it's connected to a database. The session covers a vision for the future of data analytics — where a single question returns analysis from multiple perspectives simultaneously, without traditional reporting systems — and ontology-based work automation built on an understanding of the company's data, regulations, processes, and domain knowledge.

Why it matters now

Time-to-value has become the deciding factor in enterprise AI. As agentic AI moves from boardroom topic to budget line, leaders are no longer asking whether to deploy agents — they're asking why deployment takes so long. Approaches that compress months of setup into a database connection speak directly to that pressure, and reflect a broader industry shift toward ontology- and knowledge-graph-based AI as the foundation for agents that genuinely understand enterprise context.

About the speaker

Gyuhwa Jeon is a Technical Consultant with long experience working directly with enterprise practitioners across digital transformation (DX) and AI transformation (AX). His role spans analyzing both the digital and analog sides of an organization to design and build DX and AX initiatives that succeed in practice — expertise he now brings to making agentic AI immediately deployable in real business environments.

Key Takeaways

The Plug & Play methodology — how minimizing setup lets an AI solution run as soon as the database is connected.
The future of data analytics — one question, multiple analytical perspectives at once, no traditional reporting system required.
Ontology-based work automation — agentic AI grounded in your company's data, regulations, processes, and knowledge.