Connecting a LLM to a RAG is easy.
But wiring an autonomous Agent into your Information System so it can actually act (writes, transactions) is an architectural nightmare.

Legacy Information Systems (deterministic, transactional) and AI Agents (probabilistic, exploratory) are fundamentally opposed. Without a clear framework, API hallucinations, infinite loops, and runaway costs quickly emerge.

That’s where the Model Context Protocol (MCP) comes in. More than a technical standard, MCP is a contract to govern Agent–IS interactions.

In this session, we will break down:

The interface contract: exposing your business rules as Tools and Resources the AI can understand.

The internal mechanics: why the quality of interface prompts matters more than the code itself.

The crash test: effective patterns and costly anti-patterns (agentified CRUD, RAG/MCP redundancy, agent cascades).

We’ll conclude with a decision framework: when to adopt MCP—and when to avoid over-engineering.

Learn how to transform your Information System for the agent era, safely and efficiently.

This talk assumes you do not give autonomous agents direct access to production databases. If you do, please stay for the Q&A—we have questions.