Vision To Value

AI-native innovation. 

Built to scale.

LabX turns validated business challenges into production-ready AI solutions — without disrupting what already works.

chapter 02

coming soon

Xponential AI Operating Model

How to accelerate the path to AI success and deliver better outcomes at scale

LabX: The freedom to innovate

AI is moving faster than traditional operating models were built to handle and leaders must deliver value without risking decades of investment. LabX reveals a new way forward: a controlled, accelerated route to scale — where real business challenges become production-ready AI products built for stability, performance and measurable impact.

LabX is DXC’s AI-native product incubation lab, delivering production-ready AI solutions in 90 days or less.

Grounded in DXC’s Customer Zero approach, every product we are working on is proven first inside our own operations using real data.  

Built on our Human+ philosophy, LabX accelerates the shift toward an AI-native enterprise where intelligent systems enhance people, orchestrate workflows and unlock exponential performance.  

Move at startup speed — with enterprise discipline.

Customer zero:
Validate. Prove. Scale.

LabX operates on a simple principle: nothing advances without proof.

Every initiative requires a Customer Zero — either an external client or an internal DXC business unit — that commits sponsorship, production data access and defined outcomes from the outset.

Solutions are co-designed and tested under real operating conditions before broader investment.

Internal DXC deployments further stress-test solutions across enterprise complexity and multi-vendor environments.

Each successful cycle produces two outcomes:

  • A validated, enterprise-grade AI product ready for launch
  • AI-fluent leaders and practitioners equipped to scale innovation responsibly

This dual impact is intentional. LabX builds products and capability simultaneously.

Over time, each cycle compounds enterprise AI maturity ― shifting organizations from experimentation to orchestration. 

DXC's willingness to be Customer Zero is central to LabX. As an enterprise navigating the AI era, we face many of the same challenges our customers do, and that gives us a unique advantage.
Holly Grant, SVP, Strategy & Innovation, DXC Technology

DXC's willingness to be Customer Zero is central to LabX. As an enterprise navigating the AI era, we face many of the same challenges our customers do, and that gives us a unique advantage.

A new speed 
for enterprise AI

Most AI initiatives stall between experimentation and scale. The barrier isn’t ambition — it’s orchestration. LabX introduces a disciplined, stage-gated model designed to accelerate innovation while managing enterprise complexity.

Every initiative must be anchored in a validated business opportunity, with executive sponsorship, measurable outcomes and a committed Customer Zero prepared to co-design and test the solution.

Once admitted, ideas move through a structured 90-day path: discovery, validation and production. Teams confirm feasibility, build working solutions and deploy into controlled production-like environments to demonstrate ROI.

  • Funding is incremental
  • Risk is managed
  • Learning is fast
  • Results are real

Solutions are built on DXC’s Xponential AI Orchestration Blueprint, integrating AI agents, data, platforms and workflows into a coordinated enterprise system.

This is not innovation theater. It is enterprise AI, operationalized.

Ready to move from AI ambition to AI impact?

Most organizations experiment with AI. Few operationalize it. 

 

Discover how LabX can accelerate validated enterprise AI in 90 days or less. 

Start a LabX conversation

Ready to move from AI ambition to AI impact?

Most organizations experiment with AI. Few operationalize it. 

 

Discover how LabX can accelerate validated enterprise AI in 90 days or less. 

Start a LabX conversation

This is just the beginning of a
whole new era of possibility

Our journey is being crafted to cut through the noise — turning uncertainty into insight, and ideas into action. Explore more about the content here or connect with an expert to take the next step.

Security & privacy risks Unclear ROI Insufficient technical expertise Industry ambiguity No AI strategy Ethics & governance concerns Integration overload People & culture
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