DXC’s AI orchestration redefines IT and workplace value

DXC Technology's AI-native Workplace Services, powered by the OASIS orchestration platform, have transformed IT support by reducing service desk calls by 60% and resolving half of device issues before employees even notice them. This proactive approach, which integrates agentic AI with human expertise, not only minimizes workplace disruptions but also simplifies IT operational complexity by an estimated 40%, enabling smoother and more efficient IT environments.

By designing solutions around established employee workflows and leveraging existing technology investments, DXC Workplace Services returns over 15 hours of productive time per employee each month. This significant productivity gain stems from reducing friction and streamlining IT support through the seamless collaboration of AI automation and DXC’s human expertise, which anticipates employee needs and continuously improves workplace performance.

DXC Technology’s AI-native Workplace Services exemplify how effective AI orchestration hinges on deep operational expertise and workflow-centric integration. By tailoring AI deployment to specific friction points such as agent workflows, training gaps, and the disconnect between data and actionable insights, DXC ensures that AI solutions are embedded precisely where they deliver measurable productivity gains and reduce operational complexity. This approach aligns with the broader industry recognition that AI’s true value emerges not from isolated capabilities but from seamless integration into existing systems and processes, transforming AI from a mere conversational tool into a reliable engine for workflow execution.

The rise of AI orchestration layers, as seen in DXC’s OASIS platform, reflects a strategic shift toward unifying fragmented enterprise applications and workflows without relying on centralized databases. According to Metrigy’s 2026 research, 63% of CX and IT leaders anticipate AI orchestration will supplant traditional platforms like ticketing and CRM, with this expectation rising to over 73% among high performers. These orchestration layers consolidate automation tools, unify context across disparate systems, and centralize governance and security, enabling end-to-end process execution that enhances both IT efficiency and employee productivity.

Durable business value from AI depends on embedding AI outputs within clearly defined workflows that include human validation and exception handling, ensuring trust and reliability. DXC’s model reflects this principle by incorporating human-in-the-loop mechanisms and auditability features that provide transparency and continuous improvement. This design philosophy acknowledges that operational AI is not about replacing human judgment but augmenting it—automating repetitive tasks while empowering employees to focus on complex decision-making, thereby safeguarding client investments through outcome-based accountability.

Transitioning to AI orchestration demands not only technological innovation but also a fundamental rethink of enterprise budgeting and architecture. Unlike traditional fixed licensing models, AI orchestration relies on consumption-based pricing tied to API calls and tokens, shifting costs toward internal engineering efforts. This economic and architectural transformation underscores the importance of high-quality input data and seamless integration of AI-generated outputs into operational workflows—without which even the most advanced AI models fail to deliver tangible business impact, as DXC’s experience with AI-native Workplace Services confirms.

DXC Technology’s strategic pivot towards AI-native platforms, exemplified by its launch of AI-native Workplace Services and exclusive managed services partnership with Primary’s AI-native Zero Trust Platform, aims to counterbalance ongoing declines in its legacy infrastructure outsourcing business. By integrating the DXC OASIS orchestration platform with Human+ agentic AI workflows, DXC is positioning itself to capture higher-margin digital and AI contracts that could stabilize and potentially grow its revenue base amid persistent mid-single-digit organic declines and margin pressures in its traditional Global Infrastructure Services (GIS) segment. This shift not only targets near-term revenue stabilization but also seeks to create more durable revenue streams through expanded bookings and renewals in AI-driven services.

Beyond immediate financial stabilization, DXC’s AI initiatives carry significant implications for its long-term market positioning and brand perception. By addressing concerns over brand erosion and the loss of large enterprise deals, the company’s AI-native workplace and security platforms could soften the cautious revenue and earnings forecasts that pessimistic analysts have projected—such as a revenue decline to approximately $11.6 billion and modest earnings near $156 million by 2029. The success of these AI-driven offerings will be critical in either reinforcing or alleviating these market doubts, potentially reshaping DXC’s competitive stance within the evolving enterprise AI landscape.

AI is fundamentally reshaping business models by enabling remarkably small teams to achieve outsized revenue through automation and efficiency. Medv, a two-person company, exemplifies this trend by leveraging AI to build a sales front end that is on track to generate $1.8 billion in sales in just its second year. However, despite such transformative potential, many users remain tethered to limited AI applications, primarily using it as a chatbot rather than unlocking its full capacity to revolutionize operations and personal productivity.

This shift toward AI-driven efficiency is redefining the very concept of wealth, moving away from material possessions toward the intangible gains of time and energy. As one perspective puts it, 'True wealth isn't measured in possession. It's measured in the time you gain, the energy you feel and the life you create.' By freeing individuals from routine tasks, AI not only enhances business value but also enriches personal life, underscoring a broader societal transformation in how success and prosperity are perceived.

AI’s democratizing power is breaking down traditional barriers to complex business activities, enabling individuals from diverse backgrounds to engage in high-level decision-making. For instance, a blue-collar user in the Midwest utilized the AI tool Sylvia to identify biotech M&A targets, successfully making five investments within 30 days. This example highlights how AI platforms can empower users beyond conventional expertise, expanding access to sophisticated business intelligence and investment opportunities.