AI Orchestration

DXC Technology launched Xponential, an AI orchestration framework, on October 28, 2025, to simplify enterprise AI adoption. Built on five pillars – Insight, Accelerators, Automation, Approach, and Process – Xponential addresses governance, scalability, and responsible AI. DXC cites client successes including reduced service desk tickets at Textron and improved patient care at Singapore General Hospital. DXC plans to scale Xponential globally using its 50,000 engineers and global AI centers. Analysts emphasize the importance of demonstrating ROI, integrating with existing IT, and offering explainable AI for widespread adoption.

Druid AI introduced its Virtual Authoring Teams at Symbiosis 4, aiming to revolutionize AI automation with AI agents that autonomously create, test, and deploy other agents. Druid claims its system can accelerate enterprise-grade AI agent development tenfold, offering orchestration, compliance, and ROI tracking. The platform includes Druid Conductor for central control and a marketplace for industry-specific agents. While competitors like Cognigy, Google, and Microsoft also explore agentic AI, Druid emphasizes explainability and control, seeking to bridge the gap between AI experimentation and scalable business transformation.

Agentic AI promises to unlock generative AI’s potential, addressing the current disconnect between adoption and bottom-line impact. AI agent orchestration is emerging as crucial, with platforms like BMC’s Control-M evolving to manage autonomous agent deployments across diverse systems. BMC envisions Control-M as an “orchestrator of orchestrators,” connecting various tools and facilitating AI agent coordination. As companies like Salesforce develop “digital labor platforms,” demand for robust orchestration layers is growing. Effective orchestration is vital for operationalizing AI, mitigating risks, and ensuring compliance, thereby maximizing business outcomes and ROI.