Running mission-critical operations without the war room 

When a payment platform stalls or a reservation system freezes, the clock starts at once, and the cost is measured in far more than money.

Yet many of the teams responsible for these systems still work the way they did a decade ago, stitching together a picture of their own estate from a dozen consoles while executives wait for an answer.

That gap between how much these systems matter and how they're actually run has become the central problem in enterprise IT.

Mission-critical operations are the systems that an organization cannot run without. For an airline, it's the platform that boards passengers and dispatches aircraft. For a bank, it's the rails that clear payments and settle trades. For a government, it's the services citizens rely on every day and for a hospital, it's the records and devices that support patient care.

These environments share one defining trait: when they go down, the business stops, regulators take notice and customers remember. That's why they're engineered for resilience and held to availability targets most other systems never face.

The trouble is that the tools used to manage the infrastructure that runs these environments have multiplied faster than the ability to make sense of them.

Data sits in separate systems that don't talk to each other. An engineer trying to understand a single incident might open 16 browser tabs to piece together what's happening, and a serious event still pulls 10 people into a war room across time zones, each holding one fragment of the story. Meanwhile, IT operations and security often run as competing silos on the same estate, so the people defending it and the people running it work from different versions of the truth.

When a faulty software update cascaded through enterprises in July 2024, insurance modeler Parametrix estimated direct losses to the Fortune 500 alone at roughly $5.4 billion, with airlines, banks and healthcare providers among the hardest hit. The Uptime Institute's 2025 outage analysis found that most severe outages were preventable with earlier detection and better processes, and that around 1 in 5 serious incidents cost more than $1 million. And because that score climbs for as long as a system stays down, the hours or days spent tracking down the cause are where most of the damage is done.

These figures highlight a deeper issue: most organizations can't clearly connect IT activities and the business results they’re intended to support and protect.

This is the problem DXC built DXC OASIS to solve.

Rather than asking enterprises to replace the tools they already depend on, DXC OASIS sits atop them as an orchestration layer, connecting platforms like ServiceNow and Dynatrace and everything else you run instead of competing with them. 

The result is a unique, live view of the entire estate, so the 16 tabs collapse into a single picture, and the war room gives way to a coordinated model in which a master agent directs specialized sub-agents, each handling the volume while people apply judgment.

The performance shift is measurable

In DXC's own operations, complex problem management that used to take 2 to 6 days is now resolved in 8 to 10 minutes, a reduction of about 99%, and DXC OASIS reaches that speed with 92% first-time accuracy. Speed and quality improve together rather than trading off against each other.

Just as important for regulated industries, IT operations and security data converge into a single, governed view in which every agent action is logged, and every insight can be explained. 

Agents inherit the identity of the person they act for, so an agent can never access data or run a command that a human couldn't, and elevated actions trigger an extra layer of oversight. AI for mission-critical operations only earns trust when it's this traceable.

For leaders operating complex multi-vendor estates, the greatest opportunity sits in the operating model rather than in another console.

Start by asking how long it takes your teams to form a single, trustworthy view of an incident, and whether your IT and security functions share that view. Where the honest answer involves too many tabs and too many people in a room, an orchestration layer that unifies the estate and puts governed AI to work is the sensible next step.

The organizations that make that shift will spend less time chasing alerts and more time protecting and delivering the outcomes their critical systems exist to deliver.