AI is no longer a theoretical concept; it's a strategic imperative. To gain a competitive edge, enterprises are moving to create unique AI services that blend powerful, pre-trained models with their own proprietary data. But as many are discovering, a brilliant AI model is worthless if it’s built on a foundation of operational chaos. The gap between a promising model and a reliable, governed AI service is where most initiatives are at risk of failing.
This is the challenge that Enterprise Management Associates (EMA) addressed in its 2025 Radar™ for Workload Automation and Orchestration. Recognizing a crucial shift in the market, EMA introduced a new, special honor: the “Recognition for Excellence in Agentic Automation Enablement.”
We are proud to announce that Broadcom was the sole vendor to receive this distinction. According to EMA, this award acknowledges our strength in “embedding reasoning-based orchestration logic, AI-assisted workflow design, and policy-bounded governance that prepare enterprises for the next stage of autonomous operations.”
This unique recognition validates a critical truth: To succeed with AI, you need an enterprise-grade control plane that can connect AI ambition to operational reality.
The journey of operationalizing AI is fraught with peril. Data pipelines are often a chaotic web of brittle, hand-coded Python scripts and manual handoffs that are impossible to govern at scale. This "pipeline plumbing" consumes valuable data science resources and erodes business trust. (Read our recent post to learn more about the challenges of moving from Python sprawl to operational AI.)
Without a framework for governance and auditability, your AI strategy remains a liability, not an asset. Fundamentally, enabling improperly governed AI agents to execute tasks and interact directly with core business systems is a non-starter for any regulated enterprise.
In its report, EMA highlights how Automic Automation offers a unified control plane that eliminates this operational chaos. Our approach doesn't force you to rip and replace the tools your teams love; it orchestrates them, providing the essential governance fabric to mitigate risk in your AI initiatives.
EMA's analysis validates our two-part approach:
Instead of just answering questions, your AI can now become an active, automated workforce. EMA credits our capabilities for “integrating reasoning-based workflow design, contextual analysis, and policy-bounded AI copilots.” These capabilities enable enterprises to advance their automation maturity while “preserving compliance and control.” This transforms AI from a passive tool into a reliable engine for achieving tangible business outcomes.
Our vision extends beyond today's challenges. The EMA report also calls out our support for emerging standards like the Model Context Protocol (MCP), which enables multi-agent interoperability.
EMA concludes that this “disciplined, architecture-led approach demonstrates that Broadcom is broadly prepared for the next phase of agentic AI, offering enterprises a scalable, secure, and trusted pathway toward self-governing automation.”
This recognition from EMA offers the strongest possible validation of our strategy. In the age of AI, it’s not just about having the smartest model—it’s about having the most reliable and most effectively governed platform to put that intelligence to work.
To learn more about why EMA recognized Automic Automation as a value leader and a pioneer in agentic AI, we invite you to download a complimentary copy of the report.
All quotes are from the 2025 EMA™ Radar for Workload Automation and Orchestration: Broadcom Vendor Profile.*