Strategy & Readiness
Data & Platform Readiness
A readiness scorecard and remediation backlog that tells you exactly what stands between you and production.
An audit of data quality, access, lineage, and infrastructure fit for AI workloads — including sovereignty and residency requirements. You get a scorecard, a prioritised remediation backlog, and a target architecture that the first production system can be built on.
Who it's for
- CIOs and CTOs preparing the platform for agentic workloads
- Data leaders who suspect data is the real blocker
- Risk and compliance teams with residency obligations
What you get
How it works
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01
Inventory
Data domains, systems of record, integration patterns, and access model.
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02
Assess
Quality profiling, lineage review, platform and security fit-for-purpose checks.
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03
Design
Target architecture and the minimum remediation needed for the first use case.
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04
Plan
Backlog with owners and cost, ready for delivery.
Technical notes
Profiling covers completeness, freshness, and consistency of the sources the top use cases depend on. Platform review covers identity (SSO, service accounts), network segmentation, secrets management, observability, and deployment path. Output includes a Flysystem/S3 residency map for OVH Object Storage where applicable.