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Home»Tools»How BMC becomes an Orchestrator Orchestrator for Enterprise Agent AI
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How BMC becomes an Orchestrator Orchestrator for Enterprise Agent AI

versatileaiBy versatileaiSeptember 22, 2025No Comments3 Mins Read
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Agent AI is, in McKinsey’s opinion, a way to “get out of Gen Ai Paradox.” Research by the consulting giant shows that nearly four in five companies use generator AI, but relatively few get the final value from it.

Therefore, the answer to the question of value may lie in orchestration. In a July article on CIO.com, some experts view the orchestration feature as “the point where an agent becomes an agent.”

This is where BMC sees opportunities on the Control-M platform, allowing organizations to automate the scheduling and processing of business workflows across a variety of platforms and applications from a single point of control. Last month, BMC was appointed as the leader of Gartner’s Magic Quadrant for service orchestration and automation platforms.

BMC considers Control-M to be “orchestrator orchestrator” in the words of the Director of Solutions Marketing Basil Faruqui, and links multiple tools together. Faruqui predicts that the orchestration will migrate from applications and APIs to agents, potentially within 12 months to two years.

For example, Salesforce has an AgentForce called the “Digital Labor Platform,” which allows for enterprise visibility and control over AI agents scaling. And for Farkey, that’s where the pack goes. “Whether it’s a data warehouse, CRM like Salesforce or SAP, all of this uses Agent AI to automate functionality,” he says. “(The role of the orchestrator) will change. We plan to automate and connect agents across the system.

“It’s really looking at our future with this ‘agent economy’. As I say,” adds Falky. “We see Control-M plays the role of being an orchestrator for the entire system.”

Faruqui has been paying attention to recent meetings with CTOs of major healthcare institutions, processing $10 billion in claims each month, saying that the initial tests of Gen AI and LLMS are “transformative.” Applying AI Gen AI to billing processing can reduce operational times by “several digits”. But as Faruqui states, corporate technology creates value since it is executed in production. Operational and governance challenges remain major barriers. Therefore, orchestration can help fill the gap.

Another positive Faruqui, speaking at AI & Big Data Expo Europe later this month, said it is the breadth and depth of investment in this area. “In the sponsorships, many of these projects are not at the CIO or CTO level. It really comes from the board,” he says. β€œIn fact, in some cases, you can see that companies are beginning to report progress on AI initiatives in letters to shareholders.

“This will move faster. So from the vendor’s point of view, you need to be ready in six months, not three years,” says Faruqui. “And we work at BMC through a very bold vision that sees this agent’s economy really take off. And orchestration is, in fact, a vehicle for business outcomes.”

Watch the full conversation with Basil:

Basil Faruqui will be speaking at the AI ​​& Big Data Expo Europe in Amsterdam on September 24th-25th at the panel session “Robust Pipeline Best Practices for Scalability and Efficiency.” Register your location now.

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