Looking to combine human expertise with agentic AI, DXC Technology launched an orchestration platform for managed services operations.
DXC OASIS was designed to enable real-time intelligent operations across the entire tech stack. The goal is to provide a unified view of performance, cost, risk, and operational health even across systems built over years. Rather than replacing existing tools, OASIS sits across them as an open agentic orchestration layer.
Key capabilities of DXC OASIS include unified visibility across the technology estate, and predictive, AI-driven intelligence and collaboration between humans and AI at scale.
DXC uses what it calls a “human+ approach” to bring people and technology together to embed AI directly into delivery of services. Its AI agents interpret signals, identify patterns, and act in real time. Human teams can focus on higher-value decisions instead of navigating fragmented systems.
DXC envisions MSPs and other partners co-delivering services and building services around OASIS.
“DXC is defining a new category in managed services,” said Chris Drumgoole, DXC president of global infrastructure services. “The way the industry delivers services today hasn’t kept pace with how enterprises actually operate. With DXC OASIS, we’re moving to real-time, orchestrated agentic operations across the entire IT environment. Purpose-built for modern, AI-driven estates, it gives customers clear, continuous control over performance helping them deliver increased business value.”
Drumgoole expanded upon DXC’s AI strategy in an article posted on LinkedIn.
“The new competitive advantage is not where work gets done. It is how well organizations can orchestrate specialized AI agents alongside their people to deliver outcomes at a speed and scale that was not previously possible,” he wrote. “Labor arbitrage as the primary competitive lever in managed IT services has run its course. AI is here, and the new competitive differentiator is agent arbitrage: how well you orchestrate intelligent, purpose-built agents alongside human expertise to deliver outcomes at machine speed. The companies and providers who have already made that shift are pulling ahead. The ones still debating it are falling behind.”