AI Readiness Assessment
Before you transform, you need to know exactly where you are. A deep diagnostic of your codebase, architecture, team, and processes against what AI orchestration actually requires in production.
Most AI transformation projects fail because they skip the assessment phase. Companies buy into the promise of autonomous engineering without understanding what their current systems, team skills, and workflows actually look like under the hood. The result is wasted budget, frustrated teams, and AI tools that never deliver the promised ROI.
My AI Readiness Assessment is the diagnostic phase that precedes any serious transformation work. I combine 25 years of architectural experience with hands-on AI implementation to map exactly where your codebase, team, and processes stand relative to what autonomous engineering demands. No generic frameworks, no vendor pitches, just a concrete picture of your current state.
The assessment covers four dimensions: technical foundation (code quality, architecture, test coverage, CI/CD maturity), AI readiness (which workflows can be automated with Claude and LangGraph today, which need refactoring first, which should stay human-owned), team capability (AI literacy, engineering skills gap, change readiness), and risk posture (security, compliance, IP exposure, data governance).
The deliverable is not a thick slide deck. It is a prioritized action plan with realistic timelines, honest budget projections, and clear milestones. You get the technical truth about your AI readiness and a concrete roadmap to act on it. Whether that leads to a full transformation or targeted automation, you move forward with confidence instead of hype.
Key Benefits
- Complete technical audit of your codebase, architecture, and CI/CD pipelines
- Identification of automation opportunities with concrete ROI projections
- AI literacy assessment of your engineering team and skills gap analysis
- Risk analysis for security, compliance, and data governance under AI workflows
- Prioritized 12-month roadmap aligned with your business goals and budget
AI Readiness Assessment
Before you transform, you need to know exactly where you are. A deep diagnostic of your codebase, architecture, team, and processes against what AI orchestration actually requires in production.