Building a Cloud strategy with data sovereignty at its core
PublicA three-year Microsoft Cloud trajectory defined for a state entity. Transformation scenarios designed to guarantee strict protection of public data.
Discover the engagements delivered for large accounts and leading organisations. Each case study sets out the context, the actions taken and the tangible outcomes achieved.
14 case studies
14 case studies
A three-year Microsoft Cloud trajectory defined for a state entity. Transformation scenarios designed to guarantee strict protection of public data.
Centralized governance created to control large-scale Cloud and SaaS adoption. A strict eligibility process introduced across security, legal and FinOps.
A drifting Cloud bill brought back under control after a large-scale migration. A FinOps center of excellence created and a genuine accountability culture established.
Control regained over software shadow IT. Over 280 SaaS solutions inventoried, lock-in and GDPR risks analyzed, purchasing standardized.
TCO assessment of several Cloud trajectories to modernize a lift-and-shift legacy foundation. Architectural rework toward optimized, sovereign native services.
Sovereign deployment of Mistral models on Kubernetes with tight GPU cost steering. Full budget control during experimentation through a tokenomics approach.
A strict assessment chain implemented (cyber, FinOps, architecture) for new solution acquisitions. Technical support provided to Procurement during tenders.
Support for the migration of 250 applications to Kubernetes (GKE). Financial management rules embedded at CI/CD design time to prevent budget drift.
Maturity assessment and harmonization of practices across 13 global portfolios. A cross-functional governance model put in place to accelerate time-to-market.
Regulatory medical training tracking modernized on the Power Platform ecosystem. Manual processes replaced by an automated, secured solution.
A monolith dismantled to absorb transaction peaks on a GCP architecture. Engineering brought back in house and aligned with the product roadmap.
A standardized taxonomy introduced to allocate Cloud costs precisely. Automated guardrails implemented, with advanced handling of PaaS and AI services.