Many organizations today dive into AI with high hopes, but 95% of AI pilots fail to deliver anticipated results, according to MIT research. The reason isn’t the technology — it’s that most organizations lack a cohesive strategy connecting AI technology to their people and processes.
Without this foundation, AI solutions perform well in one department falter when other teams try to use them. Governance concerns stall adoption. Legacy system integration becomes technically cumbersome. Organizations invest in pilots that never scale.
These challenges demand a shift toward new ways of working, an approach that treats AI not as a standalone technology but as part of a broader transformation of how people and processes operate across the enterprise.
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. To address this, 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: Leverage the best of existing tools
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 replacing people — it’s about elevating them. Humans make 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.
Doctors at Singapore General Hospital are using augmented intelligence to improve antibiotic decisions and help reduce unnecessary antibiotic usage, a key driver of antimicrobial resistance. By partnering with DXC, the hospital developed the Augmented Intelligence in Infectious Disease (AI2D) solution, using AI-driven insights and collaborative human + AI decision-making to guide antibiotic choices for lower respiratory tract infections with 90% accuracy and improve patient care while combating antimicrobial resistance.
Textron is another customer example. The 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.
In addition, 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.
And Ferrovial, a global infrastructure company, is working with DXC to develop AI Workbench, a generative AI offering that combines consulting, engineering and secure enterprise services. By leveraging more than 30 AI Agents making real-time decisions, Ferrovial is using AI Workbench to enhance operations for more than 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.
