Weekly to fortnightly
Briefings are sharper, single-question pieces between 1,200 and 2,500 words. Published weekly to fortnightly.
The most consequential layer of the AI buildout is not the foundation models themselves, but what sits between them and the organisations that deploy them: architecture, integration, evaluation, and governance.
Central thesis. By 2026 the frontier models have converged on capability for the median enterprise workload, so production AI quality is determined by architectural composition, not model selection. The same model in a.
Central claim. The operating model dominates technology choice — including the now-live choice between Western and Far East frontier models — as the determinant of enterprise AI outcomes. This is consistent with two.
The headline cost of model inference is a small and shrinking fraction of what enterprises actually spend to run generative AI in production.
Enterprise AI systems fail in production in characteristic ways. The pattern common to the documented failures reviewed here — Air Canada, Avianca, iTutorGroup, State Farm, DPD, Chevrolet of Watsonville — is the absence.
A public map of the five-pillar research programme, the stakeholders each pillar serves, and the objective IDs that drive the evidence base.
How the aims, objectives, and questionnaire translate into evidence, findings, decisions, and a forward research agenda.