Agentic AI is changing the way businesses operate. It allows machines to learn and act independently, opening new possibilities. But many companies struggle to fully harness its power because they focus on individual AI tools rather than integrating them. To truly unlock AI’s potential, orchestration and automation across systems are essential.

The Importance of Orchestration in AI Success

Orchestration is about bringing different AI tools and applications together into a seamless workflow. Instead of managing isolated systems, companies can automate complex processes across multiple platforms. This approach boosts efficiency and ensures all parts work in harmony.

One platform leading this change is BMC’s Control-M. Recognized as a leader in Gartner’s Magic Quadrant for service orchestration, Control-M helps businesses automate scheduling and processing of workflows. It acts as a central hub, connecting various tools and applications into a unified system.

Control-M: The “Orchestrator of Orchestrators”

Basil Faruqui, BMC’s director of solutions marketing, describes Control-M as more than just an orchestrator. It’s the “orchestrator of orchestrators,” meaning it links multiple tools to enable comprehensive automation. This connectivity allows companies to optimize their business processes in ways that weren’t possible before.

By integrating diverse systems, Control-M simplifies managing complex workflows. It ensures that different AI applications and tools work together smoothly, reducing manual intervention and errors. This holistic approach is key to making AI work smarter, not harder.

The Future of AI: Autonomous Agents and Their Role

Faruqui predicts that the future belongs to autonomous AI agents—machines that can learn, decide, and act independently. These agents will need to communicate and coordinate with each other, which requires robust orchestration platforms like Control-M.

Companies like Salesforce are already developing platforms such as Agentforce, which enable scaling of AI agents. The role of orchestration platforms will evolve from managing individual applications to connecting and automating interactions among many autonomous agents across different systems.

This shift means that orchestration platforms will be central to the agent economy, where machines work together to automate and improve business processes. Control-M is poised to be a key player in this new era, helping organizations unlock the full potential of agentic AI.

Ultimately, the goal is to reduce costs, improve efficiency, and stay competitive. By automating and orchestrating AI-driven workflows, companies can turn innovative ideas into operational realities. As Faruqui emphasizes, technology only delivers value once it’s actively running in production, and orchestration is the bridge between innovation and real-world impact.

Inspired by

• https://www.artificialintelligence-news.com/news/how-bmc-can-be-the-orchestrator-of-orchestrators-for-enterprise-agentic-ai/

Sources

• mckinsey.com
• cio.com
• bmc.com
• prnewswire.com
• salesforce.com