DXC unveils Xponential to guide enterprises on AI adoption at scale

DXC Technology has introduced Xponential, an AI orchestration blueprint that aims to simplify and accelerate AI adoption for global enterprises.

Xponential is designed to address the frequent challenges organisations face when attempting to implement artificial intelligence initiatives at scale, such as stalled pilot projects and a lack of cohesive integration with existing processes and teams. The framework integrates people, processes, and technology, providing a structure for deploying AI with measurable and scalable impact while embedding governance and security from the outset.

Raul Fernandez, President and Chief Executive Officer of DXC, said, "Business leaders are eager to capture the promise of AI, but too often they get stuck in pilots or struggle to scale. DXC is uniquely positioned to help, with deep industry expertise, proven AI capabilities, and a track record of transforming complex operations. Xponential provides a blueprint that combines human expertise with AI, embeds governance and security from day one, and continuously evolves as AI matures - helping enterprises move from vision to value with speed and confidence."

According to DXC, Xponential offers a repeatable framework focused on five core pillars: insight, accelerators, automation, approach, and process. These pillars are intended to ensure responsible and efficient AI deployment while enabling organisations to start with small projects, secure early successes, and scale up rapidly across their operations.

Highlighting the challenges of AI implementation, Angela Q. Daniels, Chief Technology Officer (Americas) for Consulting and Engineering Services at DXC Technology, commented, "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. Organisations invest in pilots that never scale."

Daniels emphasised the need for organisations to view AI as part of a broader transformation that involves people and processes, not just technology.

She said, "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."

Among the five pillars, insight focuses on embedding governance, compliance, and observability from the start to ensure transparency and responsible AI decision-making. Accelerators include proprietary and third-party tools to speed up the deployment process. Automation involves frameworks that continuously learn and optimise processes, while the approach is based on human-AI collaboration. The process pillar supports starting with smaller-scale projects that can be validated before broader implementation.

DXC cited multiple examples of enterprises already realising measurable benefits from adopting the Xponential framework across industries including aerospace, healthcare, and infrastructure.

At Textron, an international company, DXC implemented AI-powered automation and workflow optimisation, which resulted in a 20% reduction in service desk tickets and proactive issue resolution for 32,000 employees. In healthcare, Singapore General Hospital has adopted DXC's Augmented Intelligence in Infectious Diseases (AI2D) solution, delivering AI-driven insights and human-AI decision-making to support antibiotic selection for lower respiratory tract infections. The hospital records an accuracy rate of 90% in these decisions, helping to improve patient care and address antimicrobial resistance.

The European Space Agency (ESA) is working with DXC to roll out ASK ESA, an AI-based platform designed to unify data, speed up research, and enhance collaboration within the agency. For Ferrovial, a global infrastructure company, DXC is helping develop AI Workbench, using over 30 AI agents to optimise decision-making for more than 25,500 employees.

Daniels described the practical outcomes:

"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."

On the benefits of AI-powered automation at Textron, she said,

"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, Daniels noted the contributions of Xponential to the ESA and Ferrovial:

"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."

DXC supports the adoption and scaling of Xponential through a network of approximately 50,000 engineers and AI-focused facilities, including innovation and competency centres distributed internationally. The company maintains that Xponential's field-tested methodology is already being used internally and can help enterprises realize operational AI strategies at scale.