Understand where your organisation actually stands before committing to AI investment. A structured, independent assessment scored across governance, data, technology, people, risk, and workflow — with a board-ready output that tells you what to do first. 3–4 weeks. Fixed scope. Defined deliverable.
Most organisations do not have a clear, honest picture of their AI readiness. Internal self-assessments are limited by what people know and are willing to disclose. Executive teams commit to AI investment without an independent baseline — and discover the gaps after budget is spent.
The assessment covers six dimensions: governance maturity, data quality and readiness, technology and infrastructure readiness, people and capability readiness, risk and compliance exposure, and current workflow AI use and operating model readiness.
Structured assessment report with readiness scores, risk flags, prioritised recommendations, and a phased improvement roadmap. Designed for board presentation and executive decision-making — not an internal working document.
The assessment uses APIG to provide a structured, consistent view of readiness. For each dimension, we assess whether the right actors, practices, infrastructure, and governance mechanisms are in place to support safe AI adoption at scale.
For AI readiness, APIG provides the analytical structure for assessing whether the organisation has the right actors, practices, infrastructure, and governance in place to scale AI safely.
An AI readiness assessment is a structured, independent evaluation of how prepared an organisation is to adopt AI at scale. It covers six dimensions: governance maturity, data quality and readiness, technology infrastructure, workforce capability, risk exposure, and current workflow AI use. The output is a scored assessment and a board-ready executive briefing with prioritised next steps.
The engagement takes 3–4 weeks. It includes stakeholder interviews, document review, technical assessment, and delivery of a scored readiness report and executive briefing document.
Executive teams considering a first meaningful AI investment, boards seeking an independent view of AI exposure before approving further spend, and transformation leads who have started AI pilots and need a clear picture of organisational readiness before scaling.
An internal readiness assessment is limited by what internal teams know and what they are willing to disclose. Our independent assessment produces an objective baseline — one that leadership can rely on and boards can act from. Vendor-driven assessments create a conflict of interest: they are designed to sell a solution, not provide an objective baseline.