Q&A | April 29, 2026

DXC OASIS is bringing transparency to enterprise IT 

Anyone who manages IT for a large, complex enterprise knows that when something goes wrong, the consequences extend far beyond technology. Fleets are grounded. Transactions fail. Supply chains stall. In these moments, what matters most isn’t raw activity or ticket volume — it’s speed, judgment and clarity about what to do next and why. 

The challenge is that traditional managed services were designed for a slower, more predictable world. They optimize tasks and outputs, but struggle to deliver real‑time visibility, coordinated action and clear accountability in today’s dynamic, AI‑driven environments. As enterprise technology estates have grown more complex, the gap between IT operations and business expectations has widened. 

To help close this widening gap, we’re launching DXC OASIS, which reflects a new category of how mission-critical managed services are delivered in this new reality. It brings together human expertise and agentic AI into a single, real‑time operating model — one designed to run continuously, adapt as conditions change and connect IT performance directly to business outcomes. DXC OASIS is the foundation that enables this model, consolidating signals, workflows and decisions across the enterprise into a governed, transparent execution layer.

To understand what makes DXC OASIS unique and how it enables people to work effectively alongside AI agents, three DXC leaders who shaped the platform share their perspectives: Lisa Beaudoin, Vice President, Platform and Product; Dan Gray, Chief Technology Officer, Global Infrastructure Services; and Russell Jukes, Chief Digital Information Officer.

Q: DXC OASIS is designed around how people actually work. How is this approach different from the ways platforms are typically built?

Lisa: Most enterprise platforms are built around systems and tasks. DXC took a different approach from day one. Before making a single product decision, we focused on how our operators and customers actually worked, where friction shows up and where the real opportunities lived. Through our research, we uncovered six key disconnects, ranging from limited business insight to tools that keep teams in reactive mode. DXC OASIS is designed to close them, which is why operators trust the platform in a crisis and why adoption happens faster. Visibility isn’t a feature — it's a business value. When a CIO can see what's happening in real time, they are able to make decisions faster, reduce exposure and connect IT performance directly to business outcomes.

In addition, rather than building agents designed around tasks, DXC built agents designed around people. The team started by identifying specific roles — an operations engineer, a CIO — and brought practitioners together to understand how they actually work. Those insights were then validated through broad quantitative research to ensure what surfaced in the room held up at scale. The result is a set of agentic capabilities grounded in how real people think and operate, not just what they do.

This approach reflects how I think about design more broadly. I started my career as a designer in New York City before finding myself increasingly embedded in technology teams, and I have always believed that building great software is equal parts art and science. That mindset shaped how we approached DXC OASIS from the very beginning. You can design something that solves a workflow problem on paper, but if you do not understand the person at the center of that workflow, you will not build something they truly trust or use.

Q: DXC’s research uncovered clear gaps between what enterprise IT customers expect and what current platforms deliver. What stood out as the clearest disconnects, and how did they shape the design of DXC OASIS?

Lisa: What was striking was that our operators and customers were describing the same pain in the same language: visibility, transparency, black box. DXC OASIS was designed to open that black box, giving users a real-time view of the metrics tied to their business.

From day one, each role within an enterprise has visibility into the data and metrics that matter most to how they operate. With that shared transparency in place, AI can step in to surface insights and support better decisions across the organization. Marc Andreessen captured it perfectly when he recently posted: “It’s time to Close The Tabs.” Every enterprise IT operator knows exactly what he means. You start your day, pour your coffee, log in and you've already got 16 tabs open, jumping from one tool to another, manually pulling data from multiple systems and trying to make sense of it all. By the time you've pieced it together, the data is already out of date.

DXC OASIS solves this issue, acting as a single control plane across all of those tools and data sources, with AI providing context that simply wasn't possible before. All the metrics and data you need are presented elegantly in one tab under DXC OASIS. 

Q: Agentic AI is a core capability of DXC OASIS. How does the platform enable people to work effectively with agents as they manage enterprise IT operations?

Dan: Having all of your key data integrated in one place under DXC OASIS is really what unlocks what agents can do. Once that foundation is in place, agents have the necessary context to delegate tasks to one another based on what a situation requires. For example, an agent managing the operations of your IT infrastructure knows exactly when to call in the right specialist. It can pull in a server administration agent to address a technical issue, tap an ITSM agent to surface relevant incident details or reach out to an observability agent to retrieve the underlying telemetry data it needs.

Critically, humans play a key role in what we call our human-plus agentic operations. This means DXC’s most experienced people managing customers’ IT have seen their roles evolve. Rather than handling every task directly, they move into an orchestration role, managing and directing agents that act on their behalf with the same knowledge and boundaries we expect of our best people.

From my experience, the individuals who thrive in this model have deep expertise operating mission-critical environments and the ability to translate what's happening at the technical layer into what it means for our customers’ businesses. What I find most inspiring is what this means for our people. DXC engineers with decades of experience in server administration and mainframe operations are now the architects of our agent development. Their knowledge and expertise make DXC OASIS smarter.

And who better to train these agents than a company with DXC's heritage? For decades, we’ve been expertly managing mission-critical systems for the companies that run the world. That experience is the foundation in which our agents are built, tested and trusted.

Q: Today’s enterprises invest in a broad range of technologies. How does DXC OASIS enhance what leaders have already invested in?

Dan: Many organizations don’t want to be locked into a single vendor or tool, and I understand that firsthand from my previous role as a chief information officer. The pace of innovation means you might use one observability tool this year and want to switch to another six months later. Your operations platform shouldn’t limit those choices, which is why openness is built into DXC OASIS. 

We created flexibility for our customers’ technology stack as well as the model and harness layer. We haven’t tied the platform to any one AI lab, so agents within DXC OASIS can work with models from Anthropic, OpenAI, Google or more specialized fine-tuned models. 

We meet customers where they are because we recognize that each company sits at very different levels of maturity, with different tools already embedded in their environments. Whether they use Dynatrace, Datadog, New Relic or something else entirely, DXC OASIS connects into those systems and builds on the investments customers already made. It becomes an overarching visibility layer that unifies their data rather than replacing their tools.

The result is a single, comprehensive view of the metrics that matter, eliminating the need for operators to juggle countless browser tabs and switch between disparate data sources.  

Q: DXC tested DXC OASIS within its own operations as Customer Zero. What results are you seeing so far?

Russell: Our cybersecurity operations are a good example. Working with a technology partner, DXC deployed AI agents to handle routine analyst tasks, such as classifying alerts, documenting findings and processing initial data. These agents operate in a dedicated execution layer, intentionally separate from DXC OASIS, with their outputs integrated into the platform to give human experts an aggregated view they can combine with other enterprise data. The impact has been significant at DXC: ticket acknowledgment times dropped by 68% and investigation times fell by 77%. We're also seeing higher accuracy in escalating the right events, and agents are processing volumes that would have stretched any team. 

DXC is not only strengthening our cybersecurity under DXC OASIS, but we are also upskilling our people. With routine tasks off their plates, cyber analysts have moved into higher-impact work, including complex investigations and proactive threat hunting. High volume, high consistency operations are where agentic AI delivers, and our own security operations proved that out.

We have a team that is more focused, more effective, and working on challenges that require human judgment. 

Q:  Trust is at the center of DXC OASIS. What makes it a platform enterprises can trust?

Russell: When you introduce automation into mission-critical environments, everything needs to be logged and traceable. With agents operating at scale, the stakes are even higher, and we designed DXC OASIS with that in mind from the start.

Every action an agent takes is fully logged. Agents inherit the identity of the human they're acting on behalf of, which means if a person doesn't have access to certain data or commands, neither does the agent. For elevated commands, there's an additional layer of tracing and the ability to trigger a workflow, so nothing happens without the right level of oversight.

Running alongside DXC OASIS is an agentic assurance capability that provides both build time and run time observability, controls and governance. Think of it as a continuous quality control layer across the end-to-end lifecycle of an agent, which monitors what agents are doing, assesses decision accuracy and watches for any signs of execution drift. If an agent is delegated a task that typically consumes a certain amount of processing capacity and we suddenly see that consumption spike dramatically, safety valves kick in, the team gets alerted and we can intervene immediately.

A growing number of today’s organizations are focused on deploying agents, but the observability, guardrails and controls that need to run alongside them are just as important. We're building both in parallel, because our customers need that assurance before they can confidently hand over the keys to mission-critical operations. And frankly, so do we. What we’re describing is a broader shift in how enterprises manage and deliver technology, one where automation functions with clear boundaries that keep humans informed, in control and accountable. Trust isn’t a feature we added at the end. It’s the foundation that makes DXC OASIS work.