# AI and APIs: What Changes When Agents Make the Calls
APIs have quietly run enterprise integration for two decades. This webinar traces what happens to that foundation when AI agents become the ones making the calls — and why the layer in the middle matters more, not less.
Every few years something arrives that's supposed to make APIs obsolete. AI is the latest candidate. So far it's done the opposite — it's become the fastest and least predictable consumer of APIs we've seen. Models don't click through screens. Agents don't wait for a human. They call APIs directly, on their own schedule, at machine speed.
This session walks the full arc, from how enterprise systems connect today to how agents will drive them tomorrow. We'll define the terms plainly, show where APIs already sit at the center of integration, and then look at what MCP, code mode, and agents actually change about the traffic. From there, we'll explore how people interact with software as the interface itself becomes multi-modal and generated on demand, before closing with what it takes to run any of this in production — governance, cost control, and a clear audit trail — followed by a live demo.
**Who should attend: **
- - Platform and API engineers wiring AI into systems that already exist
- - Architects and platform teams evaluating MCP, agents, and agent-to-agent (A2A) patterns
- - AI and ML teams moving from an impressive demo to something that survives production
- - Engineering and infrastructure leaders accountable for the cost, security, and governance of AI traffic
- - Developers looking for a working reference they can clone and run locally
**Key Takeaways:**
- - Why AI consumes APIs rather than replacing them, and what that means for the API estate you already run
- - How MCP standardizes the connection between models and tools — and why it does nothing to standardize control
- - What code mode and agents do to traffic: higher volume, tighter loops, and far less predictability than human-driven calls
- - How human interaction is changing — multi-modal surfaces, interfaces generated on demand — and why you govern the call underneath, not the screen
- - A concrete governance checklist for agentic AI, plus a five-stage demo repository to take home and rebuild.
