The Accenture Dell Business Group builds on a strong track record of helping clients in industries such as financial services, life sciences, manufacturing, industrials and high-tech use AI to transform their businesses. It is uniquely positioned to help organizations deploy AI on private infrastructure, leveraging relationships with sovereign and neo cloud providers.

For RHAELM, a UK-based AI infrastructure and solutions provider, Accenture and Dell helped to accelerate the delivery of its sovereign-grade AI solutions, focused on secure, compliant, high-performing operations.

"By leveraging Dell’s AI-ready infrastructure and services and Accenture’s deep industry and transformation expertise, we’ve been able to deploy cutting-edge sovereign AI at scale to our clients in highly regulated industries," said Bradd Lewis, CEO and CRO, RHAELM. "The Accenture Dell Business Group brings a deeper level of collaboration that directly benefits our clients."

To support the Accenture Dell Business Group, Accenture plans to train more than 3,000 practitioners to build deep capability and expertise across the Dell portfolio. This group will deliver comprehensive solutions to help organizations complement their cloud strategies with on-premises AI infrastructure — particularly for those in highly regulated industries. Together, these capabilities provide a unified approach to accelerating AI adoption while aligning technology investments to business outcomes:

Private AI and neocloud solutions: Designed to help organizations enhance control over data, compliance, and performance through scalable and secure AI Factories built with full-stack solutions consisting of Dell’s end-to-end portfolio and ecosystem partners, supported by full lifecycle services from Dell and Accenture.
Integrated private AI stack offerings: Enterprise AI infrastructure brings together Dell’s complete, fully integrated solutions to support agentic AI, inferencing and high-performance computing workloads through Accenture’s full-stack offerings.
Accelerated agentic solutions deployment: Agentic use cases and accelerators help drive faster time-to-value from scaled AI use cases.
Open source and open-weight models: Designed to support model selection and task‑aware routing across models and environments, helping to maintain cost predictability, data control and scalable AI operations on a pre-defined private infrastructure stack.