DXC launches AdvisoryX to help enterprises scale AI

DXC has launched a new global advisory group, AdvisoryX, and released research that finds almost all large organisations face serious obstacles when they try to scale artificial intelligence.

The study shows 94% of surveyed organisations encounter significant challenges when they deploy AI at scale. It also finds that 65% cannot build a clear enterprise-wide business case for AI.

DXC is positioning AdvisoryX as a unit that focuses on complex strategic, operational and technology issues. The group will operate globally and will sit alongside the company's existing technology and engineering services.

The new research covers organisations worldwide. It includes responses from leaders in Australia and New Zealand.

AI at board level

The report indicates that AI has moved into formal governance structures in many organisations. It finds 77% of leaders now describe AI as a board-level priority.

At the same time, the study highlights a gap between ambition and execution. It describes a disconnect between board focus on AI and the absence of robust commercial cases, operating models and governance frameworks.

DXC says this gap results in projects that stall after pilot stages. It also says many businesses still run fragmented AI experiments rather than coordinated programmes.

Pete McEvoy is Global Head of AdvisoryX at DXC. He says organisations are feeling pressure around AI adoption.

"Enterprises are under intense pressure to 'do AI,' but most still lack the fundamentals-optimised data, clear business cases, aligned leadership, and the right technical architecture. It's why 94% hit execution challenges, and pilots fail to scale. AdvisoryX helps close that gap, enabling organisations to build from the ground up by establishing solid technical foundations, reimagining processes around value, implementing disciplined operations and validation, and designing interfaces that make AI work for people. The result is AI that scales responsibly and delivers measurable impact," said Pete McEvoy, Global Head of AdvisoryX, DXC.

Agentic AI plans

The research also tracks growing interest in a newer class of AI tools. It finds that 30% of organisations plan to deploy agentic AI within months.

Agentic AI refers to systems that take actions with a degree of autonomy. These systems typically operate beyond simple question-and-answer interactions.

Despite this interest, respondents remain cautious about fully autonomous systems. Half of leaders expect hybrid models in which AI runs with partial autonomy while humans approve key decisions.

Another 31% expect AI to remain mainly in an assistive role. Only 15% anticipate fully autonomous AI in the near term.

Impact on jobs

The study also looks at how senior executives expect AI to affect employment and skills. By 2028, 81% of leaders expect AI to increase workforce demand.

Respondents point in particular to growth in IT, data, cybersecurity and software development roles. Many also expect large-scale changes in job design and required skills.

DXC argues that this will require new approaches to workforce planning. It says organisations will need new training, governance and change management structures.

Five-part AI offering

As part of the AdvisoryX launch, DXC has outlined five integrated solutions that span the AI lifecycle. The company says these offerings sit under a framework it calls Xponential.

The first solution, AI Core, focuses on technical foundations. It covers data, modelling, governance and platform architecture.

The second, AI Reinvent, focuses on industry use cases. It covers human-assisted, semi-autonomous and autonomous operating models.

The third, AI Interact, focuses on workflows and interfaces. It looks at how people and AI systems work together through natural interaction models.

The fourth, AI Validate, focuses on testing and oversight. It includes continuous testing, observability and governance that address accuracy, quality and safety.

The fifth, AI Manage, addresses operations. It covers the running and lifecycle management of models and supporting infrastructure in production environments.

DXC says the five elements form a connected system. It says this structure lets organisations link early experiments with longer-term transformation programmes.

New brand identity

DXC has also unveiled a refreshed global brand identity that it says reflects its AI-oriented strategy. The company has updated its visual system, tone and digital experience across markets.

The group continues to focus on customers in sectors such as banking, insurance, healthcare, public sector, travel and transportation. It also continues work on modernising and running mission-critical systems for large enterprises.

Anthony Pappas, Chief Marketing Officer at DXC, says the new brand identity aligns with the company's strategic direction.

"Our visual identity now matches the pace and ambition of our strategy. This refresh reflects who we are becoming as an organisation: more focused, more unified and more aligned to the AI-driven future our customers are navigating in this era of exponential change. It captures our evolution and reinforces our commitment to helping enterprises run smarter today, modernise their foundations and transform with confidence for the future," said Anthony Pappas, Chief Marketing Officer, DXC.

DXC plans to use the AdvisoryX research engine on an ongoing basis. It intends to publish new insights that track how organisations progress from AI pilots to scaled deployment in the coming years.