DXC and LangChain Integrate Agentic AI into Critical IT Operations

The integration allows DXC to deploy AI agents capable of investigating issues in parallel and executing tasks within defined authority limits. In production environments, this has yielded significant efficiency gains: complex problem management that previously spanned days is now resolved in under ten minutes, while filesystem and database incident response times have dropped by over 90 percent. According to internal data, these agents maintain a diagnostic accuracy of 92 percent or better when measured against senior engineer judgment.

Beyond raw speed, the collaboration centers on the "agent harness"—the infrastructure required to ground AI in enterprise-specific context while ensuring accountability. OASIS agents assess actions based on reversibility and impact, automatically pausing sensitive tasks for human approval. Because the platform remains model-agnostic, DXC customers retain the flexibility to switch between different AI models based on privacy, cost, and latency requirements. This architecture functions across public, private, and sovereign clouds, ensuring that enterprises retain control over their data and operational workflows as they automate their most critical technology estates.