DXC and LangChain Team Up to Advance AI Agents for IT Operations

DXC Technology and LangChain have announced a partnership to bring AI-driven agents into mission-critical IT environments. The two companies will combine DXC’s experience in managing large-scale enterprise systems with LangChain’s open-source LangGraph runtime. The goal is to give developers a safer way to build and run AI agents that can handle routine IT tasks.

How DXC OASIS Supports AI-Driven IT Operations

DXC OASIS is an AI-native orchestration platform designed to connect systems, operational data and workflows across enterprise IT environments. The platform combines AI agents with human expertise to help organizations identify operational risks, interpret system signals and coordinate routine activities across complex technology estates.

The platform is designed to work alongside existing enterprise tools rather than replace them. Its capabilities include real-time visibility, predictive insights, workflow automation and coordinated execution across IT infrastructure and services. These functions can help IT teams identify potential issues earlier, prioritize incidents and allocate resources more effectively.

DXC announced the launch of OASIS in April 2026. In June 2026, the company announced a multi-year global alliance with Anthropic to integrate Claude into mission-critical enterprise systems. DXC stated that Claude was powering the platform’s agentic workflows and that OASIS was serving more than 50 customers at the time of the announcement.

Market Context: Growing Demand for Intelligent IT Operations

The adoption of AI agents in enterprise IT environments aligns with the expansion of the global IT Operations Management Market. According to TrendX Insights, the market is projected to increase from USD 8.47 billion in 2025 to USD 32.73 billion by 2034, registering a compound annual growth rate (CAGR) of 16.2% during the 2026–2034 forecast period.

Organizations are increasingly evaluating automation, predictive analytics and AI-assisted incident management to manage complex hybrid and multicloud infrastructure. Traditional monitoring tools provide visibility into system performance, while AI-enabled platforms can help teams interpret operational signals, recommend actions and coordinate responses across connected systems.

The growing complexity of enterprise technology environments creates opportunities for platforms that combine infrastructure monitoring, intelligent orchestration and automated remediation. These developments are contributing to the evolution of IT operations management from reactive incident handling toward more proactive and AI-assisted operations.

For detailed forecasts, emerging technology trends and competitive analysis, explore the IT Operations Management Market report by TrendX Insights.

Potential Benefits of Agentic AI in IT Operations

The integration of AI agents into IT operations can support several operational improvements, depending on implementation, governance and the complexity of the underlying environment.

Automated incident management: AI agents can help classify alerts, correlate system events and initiate approved workflows for routine incidents, reducing the manual workload associated with repetitive operational tasks.

Improved operational visibility: Connecting information across infrastructure, applications and service environments can provide IT teams with a more comprehensive view of system health, dependencies and potential operational risks.

Predictive risk identification: AI-assisted analysis can help identify patterns in operational data and surface potential problems before they escalate into service disruptions.

Governed execution: Enterprise deployments require defined access permissions, operational policies, human oversight and traceable actions. These controls are particularly important when AI agents interact with mission-critical systems.

More efficient use of IT resources: Automating repeatable tasks can allow engineers to devote more time to complex incidents, infrastructure planning and service improvement. Actual cost savings and improvements in resolution times depend on the deployment and its measured outcomes.

What the Development Means for the ITOM Market

The increasing use of agentic AI is creating new opportunities for IT operations management providers, managed service companies and enterprise software developers. Buyers are evaluating solutions that extend beyond monitoring and alerting to include contextual analysis, workflow coordination and controlled execution.

For technology vendors, differentiation increasingly depends on integrating AI capabilities with existing infrastructure, enterprise knowledge, security requirements and operational processes. Platforms must also provide sufficient transparency and governance to support adoption in industries where service interruptions can affect business continuity.

The evolution of agentic IT operations is therefore likely to influence product development, enterprise software investment and competition among IT operations management providers. Market participants will need to demonstrate measurable operational outcomes, reliable performance and appropriate safeguards as organizations expand their use of AI agents.

Next Steps for Enterprise Adoption

Organizations considering agentic AI for IT operations should assess integration requirements, data access controls, human approval mechanisms and the reliability of automated workflows before expanding deployments. Initial implementations can focus on clearly defined, low-risk tasks, followed by broader applications as performance and governance requirements are validated.

Developments surrounding DXC OASIS illustrate how enterprise technology providers are incorporating agentic AI into managed services and mission-critical IT environments. Continued adoption will depend on the ability to combine automation with operational accountability, security and demonstrable business value.