Insights
Practical writing on sovereign AI, retrieval that holds up under audit, marketplace procurement and what actually stops enterprise AI reaching production. No thought leadership for its own sake.
Latest
Most stalled AI rollouts are not model problems. They are boundary problems. A look at why "where does our data go?" ends more pilots than accuracy ever has, and the three architectural answers available to you.
The eleven questions that come up every time, why most vendors answer the wrong one first, and how to prepare evidence before the questionnaire arrives.
Committed Azure spend is budget that already exists and has an expiry date. How marketplace procurement changes the funding conversation.
Why grounded retrieval with source links is the difference between an answer a regulator accepts and one you cannot defend.
What we write about
We write where we have something specific to say. If a topic does not sit under one of these, it does not belong here.
Data residency, air-gapped deployment, and building AI into environments that cannot send data out.
Grounding, permission-aware access, citations, and why keyword search alone keeps failing enterprise users.
What stalls enterprise AI deals, how to prepare for the questionnaire, and marketplace and MACC mechanics.
DORA, the EU AI Act, NHS data governance and what they mean operationally rather than theoretically.
New pieces are published here first, then syndicated to LinkedIn. Subscribe by RSS, or follow the company page to get them in your feed.