Assess · 2 weeks
AI Readiness Assessment — AWS
A structured evaluation of your organization's readiness to deploy production AI on AWS. Gap analysis against Amazon Bedrock, Amazon SageMaker, and AWS data services with a prioritized 90-day implementation roadmap.
View framework on GitHubWeek 1 — Discovery
- AWS environment review — account structure, Organizations, IAM posture
- Current AI initiatives inventory — Bedrock, SageMaker, or third-party deployments
- Data estate assessment — S3, Glue, Lake Formation, Redshift, governance posture
- Security and compliance review — GuardDuty, Security Hub, relevant frameworks
- Stakeholder interviews — CTO, VP Engineering, data and ML leads
Week 2 — Analysis & Roadmap
- Gap analysis against Amazon Bedrock and SageMaker production readiness
- Data platform fit assessment — Lake Formation, Glue, Redshift, Athena
- Risk assessment — data governance, model governance, compliance gaps
- 90-day roadmap — prioritized initiatives with effort and cost estimates
- Executive presentation — findings, reference architecture, and next steps
Deliverables
What you walk away with
AI Maturity Scorecard
Scored across 6 dimensions: data quality, infrastructure, security, talent, governance, and use case readiness.
Gap Analysis
Assessment against Amazon Bedrock, SageMaker, and AWS data platform deployment requirements.
Use Case Backlog
Prioritized AI use cases ranked by business value and implementation complexity on AWS.
90-Day Roadmap
Architecture recommendations, sequenced initiatives, and cost estimates for your AWS AI platform.
Executive Briefing
30-minute presentation to leadership with findings, risks, and recommended next steps.
Associated AWS services
Platform coverage
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