How should the Defence data/AI product owner decompose AI/data product adoption into doctrine, organisation, training, materiel, data, people, facilities and sustainment choices?
Data is fragmented, permissions are hard, and users lack trust in outputs.
Answer block
What the page can settle.
Door
Capability decomposition
Mapped to the Bid Evidence Pack route.
Buyer
Defence data/AI product owner
Data product owner or AI delivery lead or adjacent programme/capability/commercial sponsor
Fit
How Lansary reads it.
DEE decomposes ai/data product adoption into mission outcomes, constraints, measures of effectiveness, evidence needs and acquisition/test hooks.
First step
DOTMLPF-style capability tree, dependencies, priority gaps
Sell as a capability decomposition sprint.
Start with named public records.
- https://www.nato.int/en/what-we-do/introduction-to-nato/defence-expenditures-and-natos-5-commitment
- https://www.gov.uk/government/publications/the-strategic-defence-review-2025-making-britain-safer-secure-at-home-strong-abroad
- https://www.gov.uk/government/publications/defence-industrial-strategy-2025-making-defence-an-engine-for-growth
This page is a routing surface. The private Evidence Pack tests the named subject, dates, source boundary and decision consequence.