Assess · 2 weeks
AI Readiness Assessment — IBM watsonx
A structured evaluation of your organization's readiness to deploy production AI on IBM Cloud. Gap analysis against watsonx.ai, watsonx.data, and IBM hybrid cloud infrastructure with a prioritized 90-day implementation roadmap.
View framework on GitHubWeek 1 — Discovery
- IBM Cloud environment review — account structure, resource groups, IAM policies
- Current AI initiatives inventory — watsonx.ai, Watson Studio, or third-party deployments
- Data estate assessment — Db2, watsonx.data, Cloud Object Storage, governance posture
- Security and compliance review — IBM Security services, relevant frameworks
- Stakeholder interviews — CTO, VP Engineering, data and ML leads
Week 2 — Analysis & Roadmap
- Gap analysis against watsonx.ai and watsonx.data production readiness
- Hybrid cloud assessment — OpenShift, on-premises integration, multi-cloud posture
- Risk assessment — data governance, model governance, AI ethics, 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 watsonx.ai, watsonx.data, and IBM hybrid cloud deployment requirements.
Use Case Backlog
Prioritized AI use cases ranked by business value and implementation complexity on IBM Cloud.
90-Day Roadmap
Architecture recommendations, sequenced initiatives, and cost estimates for your IBM AI platform.
Executive Briefing
30-minute presentation to leadership with findings, risks, and recommended next steps.
Platform coverage
IBM services assessed
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