Adoption tells you what you bought. Readiness tells you whether it will work. These five scorecards measure what sits underneath your AI strategy. Each takes 10 to 15 minutes to complete.
Each scorecard contributes to a research study. You receive your own results.
Pick a scorecard based on who you are assessing and the answers you need. Each scorecard stands alone and asks about what you actually do in practice, not what you intend to do in theory.
As AI takes on more of the analysis and drafting in everyday work, human skills such as judgment and imagination matter more. This scorecard shows how consistently you practice six of them, where you are strong, and what to work on next.
Score your skillsThis scorecard assesses how ready you and your leadership team are to lead with AI. It covers the judgment you bring to AI decisions, your fluency with the tools, how leadership is organized around AI, and how you lead change and develop your people.
Score your executivesThis scorecard assesses how you oversee AI as an individual director, from making sure someone is accountable for AI outcomes to knowing what the company’s AI agents may do without human approval. Each question asks what you have done in the past twelve months.
Score as a directorThis scorecard rates how ready your organization is for AI across six dimensions, from the way it chooses and funds new initiatives to whether its people have the skills the work requires.
Score your organizationAI sovereignty is your organization’s ability to make, carry out, and revise its own decisions as AI becomes part of the business. Without it, the choices about how you use AI end up being made by your vendors.
Score your organizationEvery scorecard follows the same three steps.
AI does not fail on its own. It fails inside organizations that were not ready for it.