DXC and LangChain Advance Agentic AI Harnesses for Mission-Critical IT Operations

• 13 Oct 2026
• TM Team
• 0 Comments

 DXC Technology, a leading enterprise technology and innovation partner, announced a partnership with LangChain, the company behind the open-source LangGraph agent framework and LangSmith agent engineering platform, to advance governed agentic AI across mission-critical enterprise IT environments.

The partnership builds on DXC's use of LangGraph within DXC OASIS, its intelligent orchestration platform and operating model for mission-critical IT operations. DXC is also licensing LangSmith to support the development, evaluation, and observability of OASIS agents. OASIS is already in production and scaling toward 125 customer environments across regulated industries and multiple geographies. Together, these capabilities help DXC build, orchestrate, evaluate, and continuously improve AI agents while applying the enterprise context, governance, human oversight, and continuous assurance required for critical technology environments.

Through the partnership, DXC is using LangGraph and LangSmith to advance how OASIS agents are built, orchestrated, evaluated, and continuously improved. LangGraph provides the open-source framework for agent orchestration, including capabilities such as delegation, state management, and human-in-the-loop workflows, while LangSmith provides tooling for agent development, evaluation, and observability.

OASIS integrates these capabilities to enterprise IT operations, enabling agents to respond to operational events, investigate issues in parallel, draw on specialized capabilities across technology domains, and bring people into the process when judgment or approval is required. This allows human experts to focus on higher-value decisions while agents provide the capacity and speed to address operational issues at scale. Across specific production use cases, filesystem incidents that previously took 53-90 minutes can be resolved in 3-6 minutes, while database performance incidents have moved from 2-3 hours to 5-12 minutes. Complex problem management that previously required 2-6 days has been reduced to 8-10 minutes.

"Agentic AI has the potential to fundamentally change how enterprises operate their most critical technology, but models alone are not enough," said Dan Gray, President, Global Infrastructure Services, DXC Technology. "Across more than 500 measured use cases, OASIS has reduced resolution time by 95% on average, with diagnostic accuracy of 92% or better when validated against senior engineer judgment. Through our work with LangChain, we're bringing together advanced agent technology, operational expertise, and governance to put AI agents to work safely at enterprise scale."