AI Readiness & Architecture Sprint

AI experimentation often starts before the organisation has agreed what information is suitable, where human review sits, or who will own the capability. A narrower question can prevent premature platform decisions.

Technology leaders, AI sponsors, risk owners and business process owners deciding whether and how to pursue a use case.

A working boundary to refine together, not a predetermined statement of work.

• 01Define one use case, intended users, workflow and decision to be made.
• 02Review the relevant information flows, existing systems and integration constraints.
• 03Surface governance, security, privacy, human oversight and operational ownership questions.
• 04Compare feasible architectural directions at a decision-making level.

• 01A use-case readiness brief with explicit assumptions and unresolved dependencies.
• 02An architecture options view, including integration and control considerations.
• 03A recommended next decision: validate further, redesign the use case, proceed to a controlled experiment or stop.

This does not build or deploy an AI system, certify compliance, or guarantee a viable use case. Sensitive data access and assessment depth are agreed in advance.