Overview
This structured and modular assessment helps organisations evaluate their current state of AI and data maturity and identify practical steps toward business-aligned, scalable, and responsible AI. Covering six key dimensions, it provides clarity on strategy, capabilities, risks, and impact, supported by a 1–5 maturity scale and tailored improvement guidance.
The assessment dimensions are:
- Strategy & Leadership
- Organization, Culture & Skills
- Data & Data Governance
- Technology & Architecture
- AI Portfolio & Business Impact
- Ethics, Responsibility & Risk
Using stakeholder interviews, documentation review, and expert-led workshops, the assessment identifies strengths, inefficiencies, and priority development areas. It helps leaders make informed decisions on where to invest and how to get value from AI. The assessment is designed to align with AWS-native best practices, AWS services such as AWS SageMaker, S3, Bedrock, Glue, Lambda, and other relevant services. The framework supports both early-stage and advanced organisations.
Highlights
- Pinpoints where AI initiatives lack impact.
- Reveals technical and organisational blockers to scaling AI.
- Gives priorities to improvements.
Details
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