Commercial and Technical Readiness

Being visible in AI-mediated markets requires more than good content. It requires structured signals that AI systems can find and interpret: clean metadata, clear taxonomy, consistent trust signals, and an operating model that supports machine-readable differentiation. Most organisations have gaps they have not yet identified.

Andrew writes about what leaders need to change now and advises organisations on practical steps: readiness diagnostics, machine-readable differentiation as a growth advantage, metadata and taxonomy as commercial assets, trust and explainability, measurement, and the go-to-market implications of AI-shaped discovery and buying.

Readiness is not a single milestone. It spans how your organisation structures its data and content, how it presents its expertise to machine-readable systems, and whether its go-to-market assumptions still hold as AI takes on more of the evaluation work that buyers once did themselves.