A focused executive review of AI ambition, opportunities, data and process conditions, leadership ownership, governance and adoption capability, ending with a prioritised decision roadmap.
THE DIRECT ANSWER
An AI readiness assessment should examine business value, priority use cases, ownership, data and process conditions, technology dependencies, governance, skills, adoption capacity and the evidence needed for investment.
The review begins with the business outcomes, board expectations and investment choices creating the need for an AI position. Existing initiatives and supplier conversations are captured so the organisation can see whether they form a coherent agenda. The review defines the decisions leadership needs to make now and the evidence that can wait until a specific use case has been selected.
Current and proposed use cases are examined for value, feasibility, strategic fit, data and workflow readiness, risk and ownership. The review identifies where evidence is strong, where enthusiasm has moved ahead of the operating conditions and where a smaller first move could create useful learning. Leadership receives a prioritised view of what to back, investigate, pause or stop.
Readiness is assessed across processes, data access, technology environment, supplier dependencies, skills, capacity, governance and change conditions. The review stays at an executive and business-design level; it does not present itself as a technical architecture, security, privacy or legal audit. Those specialist assessments are commissioned where the proposed use case and level of consequence require them.
The review shows which decisions and roles must sit with leadership, which capability can be developed internally and where external depth is sensible. It tests whether the use case has a committed owner, accessible expertise, a route through risk and technology functions and enough operating capacity to redesign the work. The aim is a viable ownership model, not a generic list of AI skills.
The output brings together the executive position, opportunity shortlist, material gaps, immediate decisions, recommended first move and the evidence required for further investment. Actions have owners and review dates. Where a defined project follows, the review becomes its business brief. Where the organisation should pause, the reasoning and conditions for revisiting the decision remain clear.
HOW THE SIDEKICK WORKS
Connect the ambition, evidence, operating reality and competing views before committing to the answer.
Create an executive-ready view of the options, commercial implications, risks and evidence still required.
Shape the brief, partners, governance and business change so the work lands beyond the technical build.
FROM “WE SHOULD” TO “WE DID”
KEEP MOVING
Questions, answered
An AI readiness assessment examines whether a business has a valuable use case and the ownership, data, process, technology, governance, skills and adoption conditions needed to deliver it responsibly.
It produces an executive position, prioritised opportunities, material readiness gaps, immediate decisions and an owned roadmap for the next sensible stage.
No. It is an executive and business-side review. Specialist architecture, cyber, privacy and legal assurance can be identified and commissioned separately.
The smallest useful group usually includes the executive sponsor and relevant leaders from operations, technology, data, risk, finance and people, depending on the opportunities under review.
The next useful move
Bring the decision, idea, project or knot of competing opinions. We will work out the lightest useful next step.
Bring us the thing that’s stuck