Sydney, Australia – DXC Technology has partnered with LangChain to advance governed agentic AI across mission-critical enterprise IT environments.
DXC announced the partnership on 14 October 2026. LangChain is the company behind the open-source LangGraph agent framework and the LangSmith agent engineering platform.
The tie-up builds on DXC’s use of LangGraph within 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.
According to DXC, OASIS is already in production and is scaling toward 125 customer environments across regulated industries and multiple geographies.
LangGraph supplies the open-source framework for agent orchestration, including delegation, state management and human-in-the-loop workflows. LangSmith, in turn, provides tooling for agent development, evaluation and observability.
OASIS applies these tools to enterprise IT operations, allowing agents to respond to operational events, investigate issues in parallel and draw on specialised capabilities across technology domains. Agents bring people into the process when judgement or approval is required, DXC says.
The company points to specific production use cases to illustrate the gains. 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.
DXC adds that complex problem management, which 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,” Gray continued.
Governance sits at the centre of the partnership. Using LangChain technology, OASIS now lets agents operate within defined authority, with actions assessed on reversibility, impact, verifiability and an agent’s track record.
Sensitive actions can be paused for human approval before execution. Meanwhile, agent decisions, tool calls and outcomes are traced to show how the agents operate.
OASIS also grounds agents in the specific environments in which they work. Agents draw on system-specific and customer-specific information, DXC operational expertise and vendor documentation, so they reason with the context of each customer rather than relying solely on general model knowledge.
LangChain framed the collaboration in similar terms. “Agents are transforming the application layer for every business, and the enterprises pulling ahead are taking ownership of their agent stack,” said Julia Schottenstein, Chief Operating Officer, LangChain.
“That means adapting the harness to their business, grounding agents in proprietary context, and building the governance and continuous improvement loops that make agents reliable in production. We’re proud to bring that model into mission-critical enterprise operations through our partnership with DXC,” Schottenstein added.
The partnership also takes an open approach to agentic AI. OASIS is model agnostic and supports interoperability with third-party and customer-owned systems, allowing organisations to select different models for different workloads based on quality, cost, latency and privacy.
DXC says the platform is designed to improve as it operates, using insights from agent executions and folding lessons from individual scenarios into the wider system over time.
On deployment, DXC states that OASIS can span public cloud, private cloud, dedicated and sovereign environments without a redesign of the underlying architecture. Customers retain control of their data, workflows and the operational capabilities they build on the platform.
