Modern APIs were designed for human developers and deterministic workflows, but the rise of AI agents is fundamentally changing how APIs are consumed, orchestrated, and governed.

In this session, we explore how APIs are evolving from simple service endpoints into the foundational building blocks of autonomous, multi-agent systems. Drawing from real-world implementations in financial services, we will walk through how agentic architectures leverage APIs as tools for reasoning, decision-making, and execution across complex workflows.

The talk will cover practical patterns for designing APIs that are AI-ready, including self-describing interfaces, dynamic orchestration, and secure tool access using emerging standards such as the Model Context Protocol (MCP). We will also examine how multi-agent systems coordinate across APIs to enable real-time decision-making in areas like financial planning, compliance, and data management.

Attendees will gain actionable insights into:

- Designing APIs for AI agents instead of just human consumers
- Orchestrating multi-agent workflows using API-first architectures
- Balancing autonomy with governance, security, and human oversight
- Lessons learned from deploying agentic systems at enterprise scale

This session is ideal for architects and developers looking to move beyond traditional microservices and toward intelligent, autonomous API ecosystems.