DXC Technology Partnered With LangChain on Agentic AI

The collaboration integrates specialized AI tools into the enterprise IT operations platform to improve human-led governance.

Updated on Oct. 13, 2026 in Artificial Intelligence

DXC Technology Partnered With LangChain on Agentic AI

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Do you trust businesses to use AI agents for managing critical infrastructure?

DXC Technology has entered a partnership with LangChain to advance governed agentic AI for enterprise IT operations. The initiative integrates LangGraph and LangSmith into the DXC OASIS platform to help businesses scale AI agents while maintaining strict oversight.

Why it matters

The partnership aims to allow enterprises to expand their use of autonomous AI agents while ensuring human accountability and governance for sensitive tasks. By incorporating human-in-the-loop workflows, organizations can maintain control over critical IT decisions.

The DXC OASIS platform utilizes the open-source LangGraph runtime for agent orchestration, alongside LangSmith for development and observability. These integrations support complex workflows including filesystem, database, and problem management tasks.

The players

DXC Technology

Headquartered in Ashburn, Virginia, this multinational corporation provides information technology services and consulting to global enterprises.

LangChain

This software company develops tools and frameworks designed to facilitate the creation and management of large language model applications.

The details

DXC OASIS allows AI agents to investigate IT issues in parallel while requiring human expert approval for critical actions. The platform, which is already in production, currently supports interoperability with both customer-owned and third-party systems.

October 13, 2026: DXC Technology and LangChain officially announced their new strategic partnership.

The Tech Race

This integration reflects a broader shift toward integrating human-in-the-loop governance as a standard for enterprise-grade AI agents. It positions DXC OASIS against competitors by prioritizing accountability, moving beyond the era of unmonitored automation toward governed operational intelligence.

For enterprise IT professionals, this integration promises significantly faster resolution times for routine database and filesystem incidents. By automating these tasks while keeping a human in the loop, companies can reduce technical downtime without sacrificing security protocols.

The takeaway

Enterprise AI adoption is increasingly focused on balance, favoring controlled agents over fully autonomous systems. Organizations looking to implement similar tech should prioritize platforms that provide visibility into agent reasoning and clear points for human intervention.