Traditional REST APIs were designed for human-driven applications — mobile apps, web frontends, and tightly controlled integrations. But AI agents operate differently. They reason, discover tools dynamically, maintain context, and execute autonomous workflows.

This session explores why conventional API patterns are struggling in the era of Agentic AI and how organizations can evolve toward AI-ready architectures using MCP (Model Context Protocol), semantic tool discovery, vector-aware systems, and intelligent orchestration patterns.

Through live demos and enterprise architecture examples, attendees will learn how to transform traditional APIs into AI-consumable services that autonomous agents can discover, reason over, and securely execute.

The session includes practical implementation guidance using:

MCP Servers
SQL Server 2025 Vector Capabilities
Microsoft Fabric
AI Agents
Semantic Search
Tool Orchestration Patterns

Attendees will leave with a blueprint for designing the next generation of APIs optimized for AI-native systems.

Session Objectives

By the end of this session, attendees will:

Understand why traditional REST APIs are insufficient for autonomous AI agents
Learn the architectural differences between:
Human-centric APIs
AI-native APIs
MCP-based tool ecosystems
Explore how MCP enables:
Dynamic tool discovery
Context-aware orchestration
Autonomous AI workflows
Learn how vector search and semantic context improve API interactions for AI systems
Understand governance, security, and observability challenges in Agentic AI architectures
Build a reference architecture for AI-ready enterprise APIs using:
SQL Server 2025
Microsoft Fabric
MCP Servers
AI Agents
See a live end-to-end demo of an AI agent discovering tools, querying enterprise data, and executing actions autonomously