What are the unresolved assumptions behind the Defence data/AI product owner's next decision on AI/data product adoption?
Data is fragmented, permissions are hard, and users lack trust in outputs.
Answer block
What the page can settle.
Door
Unknowns register / research triage
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 builds a narrow evidence graph around ai/data product adoption, separates knowns from assumptions, and ranks Jade research tasks by decision impact.
First step
Assumption log, evidence status, decision impact ranking
Sell as a senior-staff decision hygiene pack.
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.