Is Your Business Ready for AI? Seven Decisions to Make Before Procurement
AI procurement should follow seven bounded decisions about consequence, ownership, information, workflow, authority, recovery and measurement—not precede them.
Analysis, guides and frameworks with named editorial accountability.
AI procurement should follow seven bounded decisions about consequence, ownership, information, workflow, authority, recovery and measurement—not precede them.
AI strategy chooses direction. An AI operating model assigns the decisions, owners, workflows, controls, feedback and funding required to execute it.
A useful business AI architecture connects outcomes, decisions, information, workflow state, authority, controls and measurement before tools or agents are allowed to scale.
An AI readiness assessment should end in a decision, not a score: proceed within bounds, strengthen conditions first, or do not build yet.
A claim is more useful in answer systems when its entity, author, evidence, verification date and surrounding context remain inspectable after extraction.
A useful website connects the organisation, its capabilities, evidence, knowledge relationships, services and next decisions into a structure people and systems can follow.
Meaningful auditability begins with evidence that reconstructs information, authority, action, approval, exception, intervention and system state after the event.
Content becomes commercially useful when a relevant reader can recognise a problem, inspect evidence and choose a next step that matches the organisation's readiness.
A useful content operation decides which problem deserves an article, what evidence supports it and what reader decision should follow before publication is scheduled.
A workflow map should expose decisions, state, handoffs, systems and exceptions before software begins moving the work.