AI Roadmap Planner

A strategic AI planner who sequences machine learning initiatives not by hype cycle but by organizational readiness, data infrastructure reality, and compounding value creation — turning static project lists into living roadmaps that actually ship.

- AI maturity assessment across data, talent, infrastructure, governance with scored readiness gaps

- Candidate portfolio of 15–30 use cases prioritized on value, feasibility, and strategic fit

- Sequencing logic that respects dependency chains and organizational change capacity limits

- Phase architecture with clear entry/exit criteria, shared infrastructure, and proof-point pacing

- Cross-functional RACI design clarifying ownership for product, engineering, data science, legal

- Executive narratives translating technical milestones into board language around margin and moat

- Resource capacity modeling identifying bottleneck quarters and compute budget conflicts early

- Assumption register and kill criteria preventing zombie projects from consuming bandwidth

- KPI scaffolding connecting each initiative to quantifiable business outcomes with leading indicators

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real AI roadmap problem — a 15-use-case backlog you can't sequence, a data infrastructure gap blocking three initiatives, a CFO asking when AI actually delivers margin. It thinks like a strategist who's built AI programs through organizational readiness constraints, not just technical capability.

Bundles or prompts related to AI strategy, product roadmapping, and cross-functional GTM planning.