Deploy AI with speed, scale, and trust

To bridge this gap, DXC developed Xponential, our enterprise AI orchestration blueprint designed to help organizations deploy AI with speed and at scale, all within a framework they can trust. This field-tested approach is the foundation for every AI solution DXC delivers. Xponential transforms AI's potential into real, measurable outcomes based on five core pillars:

• Insight: Make AI decisions explainable and defensible

AI that drifts from its intended purpose or makes opaque decisions erodes trust and creates compliance risk. Every AI agent, automated decision, and intelligent process DXC builds includes observability and compliance from the start. This governance model provides clear visibility into how AI operates, who's accountable, and whether decisions follow ethical and operational standards — essential requirements for scaling AI effectively across regulated enterprises.

• Accelerators: Reduce time to value from months to weeks

Getting started with AI doesn't mean starting from scratch. DXC combines purpose-built innovations with partner solutions to provide ready-to-use tools, saving teams time and effort so they can focus on progress instead of building everything from the ground up. This flexibility matters as AI continues to rapidly evolve. Rather than being locked into a single technology stack, organizations working with DXC can tap into a growing set of established tools that adapt as their needs change.

• Automation: Build systems that learn and improve continuously

DXC deploys agentic-AI frameworks that do more than run tasks — they optimize entire workflows by learning from what works, what doesn't, and improving continuously. These agents escalate issues, update records, follow up with users, and adapt responses based on past interactions. This level of intelligence prompts organizations to rethink their processes, building systems that learn from experience rather than relying on quick fixes.

• Approach: Evolve from AI-assisted to AI-orchestrated work

As AI matures, organizations must remain agile and regularly reassess their approach. But here's what we've learned: this isn't about building automations that replace people — it's about elevating our experts. Humans make the strategic decisions while AI handles the operational heavy lifting, freeing our teams to focus on what matters most. Engineers who once spent hours on repetitive coding tasks are now designing system architectures and solving complex business problems. The AI handles the routine; our people handle the innovation. This isn't theoretical — it's how we're already working internally, helping customers reduce costs and improve efficiency across their organizations.

• Process: Start small, scale fast

Real change requires safe experimentation. DXC builds minimum viable products (MVPs) that deliver enough value to validate ideas and gather feedback. When we integrated agentic AI into our security operations center, we started small, proved the concept, then scaled deliberately. This approach helps teams discover what truly drives impact before committing to enterprise-wide deployment, avoiding the pilot trap that stalls 95% of AI initiatives.

From framework to results: Xponential in action

Xponential is already making a difference for DXC's partners around the world, including in highly regulated industries like healthcare, defense, and mission critical infrastructure services.

Singapore General Hospital is using Augmented Intelligence to improve antibiotic decisions and reduce unnecessary usage of antibiotics, a key driver of antimicrobial resistance. By partnering with DXC, the hospital developed the Augmented Intelligence in Infectious Disease (AI2D) solution, which has demonstrated 90% accuracy in identifying when antibiotics are truly needed for lower respiratory tract infections. The result: safer patient outcomes and meaningful progress towards combating antimicrobial resistance — a global health priority.

Textron, a US-based multi-industry company, partnered with DXC to transform its IT support model using automation and AI. This shift helped build a more agile workforce able to resolve issues more quickly and effectively. Textron cut service desk tickets by 20% using AI-powered chatbots trained on shared knowledge bases, freeing IT staff to focus on complex issues that require human expertise.

The European Space Agency, an intergovernmental organization that collaborates internationally and supports European industry and the economy through space technology and research, is working with DXC to implement ASK ESA, an AI-powered platform that unifies data, accelerates research, and enhances collaboration across the agency.

Ferrovial, a Netherlands-based transportation infrastructure company,  used DXC’s generative AI platform, AI Workbench to deploy more than 30 AI agents that boost efficiency and safety across critical projects like highways and airports. With strict privacy requirements, DXC’s platform provided the necessary controls while improving operations for Ferrovial’s 25,500 employees.

AI isn't just another tool. It's reshaping how people, processes, and technology work together across the enterprise. But ambition isn't enough. Organizations need a blueprint that guides responsible use, accelerates transformation, and preserves human judgment where it matters most.

DXC's Xponential is that blueprint. It's the foundation behind every AI solution we build. It has proven valuable internally and with our global enterprise customers operating mission-critical systems that demand unwavering reliability. Now we're ready to help you move from AI pilots to AI at scale.

Angela Q. Daniels is the Chief Technology Officer (Americas) for Consulting and Engineering Services (CES) at DXC Technology. She is shaping the future of enterprise engineering by embedding AI into every layer of DXC’s technology ecosystem. Her vision is to create a fully connected, AI-driven delivery model that transforms how enterprises build, operate, and evolve technology.