Automation Blog

Broadcom Positions Automic as an AI Control Plane with V26

Written by Automation by Broadcom | Apr 9, 2026 2:03:18 PM

 

The Urgent Need for Orchestration

As enterprises race to adopt AI, the challenge has shifted from basic capability to operational execution. Recent research from Enterprise Management Associates (EMA) highlights why a unified orchestration layer is no longer optional:

  • 91% of organizations state that AI-enhanced orchestration capabilities will be extremely or very important within the next 1-2 years.
  • 86% of organizations view orchestration as a critical component to achieving their digital transformation goals.
  • 80% of organizations are already shifting their workload automation strategy toward enterprise-wide orchestration.

The following EMA impact brief details how Automic V26 addresses these market demands by integrating advanced automation with agentic AI ecosystems.

 

 

Automic V26 marks an inflection point where workload automation matures into a control plane for coordinated, intelligent execution across the enterprise. By prioritizing governance and cross-domain orchestration, Broadcom provides a scalable architecture that bridges the gap between AI potential and mission-critical operational reality.

Frequently Asked Questions

How does Automic V26 improve trust in AI outcomes?

V26 embeds non-deterministic AI behavior into deterministic control frameworks. It utilizes three core safeguards: human-in-the-loop control, retroactive audits of AI-driven decisions, and policy-based governance embedded directly into the workflows.

What is the significance of Model Context Protocol (MCP) in this release?

Automic V26 acts as both an MCP client and server, allowing it to function as a central coordinator across a fragmented ecosystem of AI agents and external services. This protocol support is essential for orchestrating distributed agent ecosystems alongside traditional automation.

Can I use my own AI models with Automic V26?

Yes. The platform supports Bring Your Own LLM (BYOLLM), giving organizations the flexibility to connect their approved models while maintaining traceability, role-based access, and policy enforcement.

How does this release impact other Broadcom schedulers like AutoSys or CA-7?

While this release is centered on Automic, the underlying architecture is designed to be a shared foundation. Broadcom is unifying core services—such as APIs, observability, and AI orchestration—across its broader portfolio, including AutoSys, ESP, and CA-7, without disrupting existing customer investments.

What new tools are available for developers?

The release introduces native Python execution, agentless deployment options, and natural language workflow generation to reduce operational complexity and friction for developers and operators alike.

For further technical details on these features, explore the Broadcom Automation documentation.