In the world of enterprise IT, the noise around AI has reached a fever pitch. Every week, there is a new announcement about "agentic AI," "autonomous operations," or "self-healing systems." While the buzzwords are exciting, the reality for an enterprise architect is often very different. You don't need a science experiment; you need reliability.

At Broadcom, we believe that AI shouldn’t be a sidecar you bolt onto your automation platform via a third-party partnership. AI should be the engine that drives automation.

What is the difference between chasing AI hype and delivering automation fueled by native intelligence? Here are a few key factors:

1. Prediction is better than reaction

The industry is currently obsessed with reducing those ”war room” meetings. We believe that is setting the bar too low. The goal shouldn’t be to fix problems faster; it should be to prevent them entirely.

Automation Analytics & Intelligence (AAI) doesn't just monitor current status; it uses historical data and statistical modeling to predict the future. Our solution can tell you that a critical financial close will miss its SLA three hours from now. This enables you to remediate before the business ever feels the impact. This isn't a new "add-on" feature; it is a core discipline of our platform. (To learn more, see how one customer uses AAI to predict performance issues.)

2. The "glass box" vs. the "black box"

There is a dangerous trend toward "autonomous agents" that promise to fix problems without human intervention—like automatically provisioning storage or restarting services. In a complex enterprise environment, "set it and forget it" is often a recipe for "set it and regret it."

We use generative AI to act as a trusted assistant, not a rogue agent. AAI analyzes millions of log lines to find the root cause of a failure and suggests the fix (or the script) for your review. We keep the human in the loop, augmenting your experts rather than replacing them. (Learn more about why you need enterprise orchestration to mitigate the risk of agentic AI.)

3. Integration matters

True visibility requires a unified value stream. Some vendors are now trying to stitch together separate products—one for scheduling, one for AI, one for observability—and selling them as a "bundle" on a marketplace.

We take a different approach. Whether you are running Automic, AutoSys, or even third-party schedulers (yes, AAI provides predictive insights for workloads running on competitor’s platforms), we give you a single, unified lens. You don't have to buy a "connector" or a "partner pack" to see your business process; it’s just how the software works. (Find out more about AAI integrations.)

The bottom line

As you evaluate approaches for AI-driven automation, ask yourself: Is AI native to the platform, or is it a partnership masked as a product? At Broadcom, we’ve built intelligence into our DNA, ensuring that when you scale, your automation scales with you—predictably, securely, and transparently.

To find out more, see our AI and automation page.