Cloud Transformation at Allianz: Building an Internal Cloud Platform (FCP)

Allianz is one of the world’s largest insurance providers. Behind the brand, cloud infrastructure was fractured across dozens of countries, each running its own setup. Provisioning new infrastructure took 12 to 18 months. Developer teams had no self-service, no visibility, and no shared standards. For a company handling sensitive financial data under strict regulation in every jurisdiction, this wasn’t just slow. It was a liability. I came in as technical product owner for the platform built to fix it.

The Future Cloud Platform (FCP) created a secure, policy-controlled boundary around all Allianz workloads, combining public cloud flexibility with private-grade compliance. The architecture supported multiple cloud vendors fit-for-purpose across entities while enforcing a consistent security baseline. Data sovereignty controls kept customer data in local data centres (Australian data stays in Australia). Platform engineering ran on Kubernetes, Helm, and Argo for standardised, automated delivery. My focus was the layer above that plumbing: the contracts, defaults, and paved roads that decide whether engineers adopt a platform or quietly route around it.

A migration that previously took 12 to 18 months completed in four months with zero downtime. On-premise and cloud environments ran in parallel throughout, ensuring full continuity for mission-critical systems.

I treated FCP as an internal product, not just infrastructure. Engineers gained self-service access to pre-built compliant environments, CI/CD pipelines, observability tooling, and golden paths for safer deployment. I sequenced the roadmap by what removed the most friction first, so onboarding shortened, productivity went up, and best practices became the default across hundreds of global teams instead of a wiki page nobody read.

The platform now powers Allianz’s enterprise AI initiatives, including the Enterprise Knowledge Assistant, which processes over 90,000 paragraphs of text to support customer service operations. Elastic infrastructure handles high-volume data processing and AI workloads across the group.

Automated auditing, GDPR-compliant data management, and region-specific hosting meant workloads met jurisdictional requirements without slowing teams down. I brought IT, Security, and Compliance into governance directly, as co-builders rather than gatekeepers, so compliance shaped the architecture early instead of blocking it the week before launch.

• Migration completed in 4 months with zero downtime
• Cloud provisioning became 80% faster through automation and reusable templates
• Standardised operations across multiple providers and 70+ countries
• AI-ready infrastructure supporting advanced analytics and automation
• Self-service DevOps platform replacing manual provisioning workflows
• Full regulatory compliance maintained across all global entities

The platform self-service and paved-road patterns I used here inform The AI-native Platform Playbook.