Agentic AI: Orchestration is Key to Unleashing Generative AI’s Full Potential

Generative AI is rapidly impacting businesses, but many are struggling to derive tangible value. McKinsey argues that the key to unlocking this value lies in “agentic AI,” an approach that moves beyond simply using generative AI tools to orchestrating them effectively. This is no longer just about automating individual applications, but automating the entire workflow using AI agents.

The Orchestrator’s Role: Bridging the Generative AI Paradox

Current research shows a significant adoption of generative AI tools, yet the return on investment is often underwhelming. The missing piece, according to some experts, is the orchestration layer. This is where agents become truly “agentic,” capable of collaborating to achieve more complex tasks.

BMC Software, recognized as a leader in service orchestration and automation platforms by Gartner, sees an exciting opportunity within this shift. Their Control-M platform, often described as the “orchestrator of orchestrators,” connects diverse applications, APIs, and, crucially, AI agents, to streamline and automate business processes.

From Application to Agent Orchestration: The Future is Now

BMC’s director of solutions marketing, Basil Faruqui, anticipates a shift towards agent orchestration within the next 12-24 months. This transition goes beyond connecting individual applications and APIs; Control-M will orchestrate AI agents within diverse systems, like data warehouses, CRMs, and enterprise resource planning (ERP) solutions. Companies like Salesforce, with their Agentforce platform, are already demonstrating this capability, enabling visibility and control over scaled AI agents.

Faruqui emphasizes the potential impact of agentic AI in enterprise operations. He cites a healthcare organization processing billions in claims monthly, where initial generative AI testing revealed transformative potential for operational efficiency improvements. However, he also points out that value realization hinges on robust implementation and governance, where orchestration plays a pivotal role in closing the operational gap.

High-Level Adoption and Urgent Need for Vendor Preparedness

Faruqui notes the strong investment in generative AI initiatives, often driven by executive boards. This substantial level of investment demands a rapid response from vendors like BMC. Rapid implementation and responsiveness are critical to capitalize on this market trend. “We’re not talking three years out,” Faruqui emphasizes, “we are talking six months”.

Discover More at AI & Big Data Expo Europe

Basil Faruqui will be discussing the intricacies of building robust pipelines for scalable and efficient Generative AI processes at the AI & Big Data Expo Europe in Amsterdam. Join him on September 24-25 for a deeper dive into best practices.

Keywords: Generative AI, Agentic AI, AI Orchestration, Service Orchestration, Automation, Control-M, BMC Software, AI Agents, Generative AI Paradox, Digital Labour, AI Implementation, AI Strategy

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