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Foundations
- AI Current-State Assessment
- A structured evaluation of where an organization stands today in its ability to adopt and benefit from AI.
- Why Assess
- Understanding the starting point is essential to plan a realistic, effective AI adoption journey.
- Baseline
- A clear snapshot of current capabilities against which future progress is measured.
- AI Maturity
- The degree to which AI is adopted, governed, and delivering value across the organization.
Dimensions
- Strategy Readiness
- Whether there is a clear AI vision and strategy connected to business goals.
- Data Readiness
- The availability, quality, accessibility, and governance of data needed for AI.
- Technology Readiness
- The tools, platforms, and infrastructure available to build and use AI.
- Skills and Talent
- The AI fluency and specialist capability present across the workforce.
- Governance and Risk
- The policies, controls, and responsible-AI practices in place.
- Culture and Change Readiness
- How ready the organization's mindset and culture are to adopt AI-augmented ways of working.
- Use Case Landscape
- The current and potential applications of AI across the organization.
Assessing
- Maturity Model
- A framework describing levels of capability across dimensions to locate the organization.
- Interviews and Surveys
- Gathering input from stakeholders to understand the real state across the organization.
- Capability Scoring
- Rating each dimension to create a clear, comparable picture of readiness.
- Evidence-Based
- Basing the assessment on real data and examples, not assumptions.
Findings
- Strengths
- The capabilities the organization can build on in its AI journey.
- Gaps
- The missing or weak capabilities that must be addressed to progress.
- Risks
- The ethical, data, security, and change risks surfaced by the assessment.
- Quick Wins
- High-value, feasible opportunities that can deliver early value.
Output
- Assessment Report
- A clear summary of current state, strengths, gaps, and recommendations.
- Baseline Metrics
- Defined measures to track progress from the current state over time.
- Input to Roadmap
- The assessment feeds directly into planning the AI adoption roadmap.