Is your organisation ready for AI, or just ready to buy it?
A practical AI readiness assessment: start with the workflow, establish a baseline, check data access and define the evidence needed before investment.
Thinking before implementation
Practical perspectives on AI readiness, governance and enterprise architecture. Written to support a decision, not a sales pitch.
Practical perspectives
These guides explain a decision-led approach. They are not legal advice, certification or evidence of delivered client outcomes.
A practical AI readiness assessment: start with the workflow, establish a baseline, check data access and define the evidence needed before investment.
Six practical AI governance questions about ownership, data, evaluation, approvals, incident response and ongoing review for enterprise leaders.
Why enterprise architecture for AI must address workflows, integration, information access, human decisions and operation, not only model selection.
Try it on your own decision
Eight questions. About three minutes. See whether your answers point to proceed, investigate, wait or stop, and what to resolve first.
A working checklist
A short checklist to frame the workflow, evidence, ownership and boundaries before an AI investment discussion.
Editable Markdown. No form, email address or registration required.
Read the checklistThe next right decision
Start with the business question. We will establish whether the Executive AI Value Architecture Review is the right next step.
Scope and commercial terms are agreed before paid work begins.