Strategy
Whether AI is tied to business outcomes and supported by leadership alignment.
AI Readiness Assessment
Score your organization across six dimensions and identify the gaps standing between you and AI results.
Built from operating experience, not advisory theory. This assessment gives your leadership team a structured way to measure where your organization stands on AI readiness today.
Data
Whether the organization has the data quality, access, and ownership needed for AI use cases.
Talent
Whether teams have the leadership, skills, and accountability required to move beyond experimentation.
Governance
Whether risk, privacy, bias, security, and board-level accountability are addressed before deployment.
Infrastructure
Whether the technology environment can support AI safely and at scale.
Process
Whether operations and change readiness can absorb AI into how work actually gets done.
How to use the assessment
Complete the assessment honestly. Rate each statement based on your current reality, not your aspirations. A low score in one dimension does not mean AI is out of reach. It means you know where to focus first.
Maturity Levels
Beginning: 24 to 54
AI tools are in use but no one is accountable for outcomes. Teams are experimenting independently, governance does not exist, data is siloed, and processes are not documented in a way that supports AI insertion.
Developing: 55 to 84
A solid foundation exists in some areas, but uneven readiness limits results. The most common pattern is good technology infrastructure with weak governance, process maturity, and talent leadership.
Leading: 85 to 120
Strong readiness across most dimensions. The focus shifts from readiness to optimization: advanced use cases, competitive differentiation, and governance maturity.
Want the executive readout?
Silver Compass helps leadership teams interpret the score, identify gaps, and decide the next practical step before committing budget to tools, vendors, or pilots.
Book a consultation to review your score