Cloud-first transformation unlocks scalability and efficiency.

The challenge

The client's existing infrastructure was holding back the operating model. AI features could not ship without breaking the legacy estate. Operational cost was rising with no clear ceiling. The board wanted a route to AI-era scalability that did not blow the IT budget.

• Legacy on-premise estate blocking AI roadmap delivery.
• Operational cost rising with no scalability ceiling.
• Cybersecurity and disaster-recovery posture below sector benchmark.
• Board pressure on both cost and capability.

Our approach

We designed and delivered a full cloud-first re-platform on the AI Factory operating model. Senior architects ran the design. Agentic engineering accelerated the migration. The change programme covered both the technical migration and the operating-model rebuild around it.

From day one the platform was designed to support agentic AI workloads, not just retrofit them later. The data foundation, the integration layer, and the observability stack were all built with AI in mind.

What we delivered

A cloud-native platform live across the business, with the operating model rebuilt around it.

• Full re-platform onto cloud-native infrastructure.
• Operating model rebuilt around AI-era workloads from day one.
• Cybersecurity and disaster-recovery posture lifted to sector benchmark.
• Continuous improvement under the Extend pillar keeping the platform current.