AITransformIQ — AI transformation readiness

The failure mode of enterprise AI is remarkably consistent: an impressive pilot, an enthusiastic board, and then eighteen months of stalling on data lineage, model governance, and the absence of anyone accountable for a model once it is live. AITransformIQ scores the whole stack that determines whether AI investment converts into operating advantage.

Nine dimensions run from strategy and vision — is there a thesis, or a portfolio of experiments? — through data infrastructure, model and platform readiness, talent depth, and the governance and ethics apparatus that regulators and enterprise customers now require. Commercial and investment readiness test whether AI capability is being priced into the offer, and AI operations readiness tests whether anything you deploy can actually be monitored, retrained, and rolled back.

The report produces an enterprise AI readiness tier, a specific gap analysis on data and governance (the two dimensions that most reliably predict program failure), and a phased adoption roadmap that ties each phase to a prerequisite rather than a date. Boards tend to find it more useful than a vendor's capability deck because the score is about the organization, not the technology.