For most enterprise employees, being unable to access basic systems and waiting hours for IT support is still normal.

This has become the default enterprise IT experience, one organizations have collectively normalized.

Enterprise IT spent decades building a model optimized for cost efficiency, not outcomes. It chased low-cost labor markets and built offshore delivery centers. For a time, it delivered real value, driven by talented people solving real problems with the tools they had. It worked.

That era is over. Not ending. Over.

The next competitive advantage won’t come from where work gets done, but instead from how well organizations can orchestrate specialized AI agents alongside their people to deliver outcomes at a speed and scale that was not previously possible. AI is here, and the new differentiator is how well enterprises orchestrate intelligent, purpose-built agents alongside human expertise to deliver outcomes at machine speed.

There is an equally significant opportunity that is getting less attention: using AI to fundamentally change the business of running IT itself. The new and the existing. The exciting and the operational. Both matter.

This illustrates a structural shift in how enterprises run IT across three core domains: cybersecurity, infrastructure and workplace. 

The Conversation Boards Are Actually Having

Boards are pushing CEOs and CIOs hard right now. They see competitors announcing new investments and innovations daily. They see cost pressure and productivity pressure converging at the same time. And they’re asking direct questions:

Can we run this business better with AI?

Can we redirect our people toward higher-value work?

Can we move faster?

These aren’t theoretical questions anymore. At DXC Technology, we’re addressing these questions through action, taking service resolution times from 3 hours to 30 seconds and reducing security investigation times by more than 70%. This shift has helped push entire teams from reactive ticket processing to proactive engineering and defense.

This isn’t an incremental improvement. It’s a before-and-after moment for how IT operates that CIOs can point to as illustrative answers to their hard questions coming straight from the board.

Cybersecurity: You Can’t Fight Machine Speed With Human Speed

Security is being transformed the fastest because it must be.

Attackers are already using AI. They’re automating reconnaissance. They’re generating adaptive phishing campaigns at scale. They’re probing environments around the clock at machine speed.

If enterprise leaders aren’t fighting AI-powered threats with AI, they’re already behind.

DXC experienced this firsthand. Before asking any customer to trust it, we deployed agentic AI into our own security operations, making ourselves Customer Zero. AI agents now triage alerts, correlate threats, and escalate intelligently. That shift reduced investigation times by 77% and freed our security experts to focus on higher-value work.

When AI takes the alert queue off a security team’s plate, something fundamental shifts. They stop reacting and start hunting. They build defenses with intention. And because they’re no longer buried in routine tasks, they invest time in understanding each customer’s environment, anticipating threats before they materialize rather than scrambling after them. 

Infrastructure: From Ticket Factories to Something That Actually Scales

Infrastructure has quietly become something no one planned for: a fragmented maze of tools, dashboards, and ticket queues where the primary unit of work is still an incident passed between humans.

We layered DevOps on top and expanded into cloud, but most enterprise environments still operate much as they did 20 years ago: someone spots a problem, opens a ticket, assigns it, resolves it, closes it, and moves on.

That model no longer scales. And it’s colliding with a moment when infrastructure demands have never been higher.

Resilience, reliability, and compliance are now more complex and consequential than ever. An IT failure is no longer just a bad day; it can mean business stoppage, regulatory exposure, reputational damage, and immediate financial impact. The data centers, servers, cloud storage and other infrastructure running the business have never mattered more – yet the traditional model used to manage it has never been less adequate.

When work that once took hours can happen in seconds, the economics of IT change. So does the role of technical talent.

Remove mundane queue-clearing, and engineers can focus on solving business problems. Infrastructure becomes a competitive lever, not just a cost center.

The CIO becomes not only an operator, but a driver of business performance. Leaders now need platforms that provide real-time visibility and control across the IT estate, and engineers reskilled to orchestrate AI agents — not just respond to alerts. 

Workplace: IT Should Feel Like a Flagship Retail Experience

Enterprise IT support was never really optimized to help employees; it was optimized to meet faceless Service Level Agreements (SLAs) at the lowest cost. “Deflection rate” became a success metric, and tiered support models and self-service portals were built to reduce human contact, not maximize resolution.

But employees now expect technology to work like premium consumer experiences. If a customer were to walk into a top electronics store, they don’t get a ticket number or a link to an FAQ; someone fixes the problem while they wait. That expectation follows employees into the workplace — where they often collide with the service desk.

AI creates a chance to close that gap. Not by adding another chatbot to a broken process, but by redesigning support around outcomes: automated resolution where it works, immediate human expertise where it doesn’t, and personalized help inside the tools employees already use.

Do More. Move Faster. Spend Less. All Three.

Managed services have always operated under a fundamental tension: customers want higher quality and lower cost, and historically, enterprises could optimize one or the other, not both.

AI changes that equation, but only if leaders are willing to fundamentally reshape how IT operates rather than just automate the processes they already have.

That requires speed. It requires governance. It requires reskilling teams to orchestrate AI rather than process tickets. And it requires proof, which is why we prove everything internally before taking it to customers.

This is not a science experiment. It’s an operational discipline.

The Real Opportunity

The question isn’t whether AI will reshape IT operations. It already has.

The real question is what you do with that fact.

CIOs who use this moment to simply automate what they have will run a slightly more efficient version of the same cost center. CIOs who use it to fundamentally redesign how IT supports the business will find themselves in a different conversation entirely, one about competitive advantage, business velocity and strategic direction rather than ticket volumes and resolution times.

The seat at the table isn’t given to the person who manages IT most cheaply. It’s earned by the leader who makes the business faster, safer and more capable than it was before.