I assess whether your organisation's data, applications, integrations, infrastructure and operational controls can take a clinical AI initiative into production safely, at scale and sustainably.
You need a cross-cutting view of the technical dependencies, risks and investments required to move from pilot to production.
The model or use case exists, but data, integrations, environments or controls prevent a reliable deployment.
Several systems, teams or suppliers are involved and no-one has a complete map of the blockers.
The perimeter depends on the systems, sources, teams and environments involved. It is agreed before work begins.
A cross-cutting assessment of one clinical initiative, from its data foundation to its real ability to be deployed and operated.
Key deliverable
Documented findings and blockers
Is the blocker clearly in the data?
If sources, modelling, quality, governance or interoperability concentrate the problem, start with a deeper assessment focused on the data foundation.
Let's identify the technical and operational dependencies blocking the next step.
Describe the use case, systems and data involved, and exactly where the blockage appears. I'll confirm whether the assessment fits and what its perimeter should be.