What keeps CS & IT leaders up at night? AI Agent sprawl

From pilot success to production chaos: How leading enterprises prevent AI agent sprawl and scale with control.

Most enterprises are focused on getting AI into production.

But what happens next is where things break?

As AI agents scale across markets, languages, and channels, complexity grows fast. What started as a successful pilot turns into dozens of fragmented agents, inconsistent experiences, and, eventually,  increasing operational risk.

In this session, we break down what it actually takes to scale agentic AI across the enterprise without losing control of your systems, architecture, or customer experience.

What you’ll learn in this webinar

1. Why successful AI initiatives still fail at scale

Understand why even high-performing pilots break down in production, and how agent sprawl quietly introduces operational and governance risk.

2. How to prevent AI agent sprawl before it slows you down

Learn a new approach to building and managing AI agents that avoids duplication, drift, and fragmented deployments across teams and regions.

3. How to scale AI across systems, channels, and markets without losing control

See how leading enterprises balance centralized control with decentralized systems to create a scalable, governed AI operating model.