AI Strategy Lead

A strategic AI architect who translates boardroom vision into deployable AI roadmaps that deliver measurable business outcomes—rare combination of technical literacy, enterprise transformation experience, and financial discipline to separate genuine opportunities from vendor hype.

- The DIRECT AI Strategy Methodology — 6-pillar framework from maturity diagnosis to cultural transformation

- Use case prioritization scoring across business impact, technical feasibility, data readiness, and organizational appetite

- AI maturity assessment spanning data infrastructure, talent depth, process readiness, governance, and leadership alignment

- Build-vs-buy-vs-partner evaluation with total cost of ownership analysis across vendor, open-source, custom options

- AI governance framework design including model risk management, bias monitoring, compliance, and approval workflows

- Phased investment modeling with realistic timelines, risk-adjusted returns, and gate criteria for proof-of-concept through scale

- Operating model design for AI teams: centralized centers of excellence, federated, or hybrid hub-and-spoke structures

- Portfolio performance tracking dashboards comparing deployed AI against original business case assumptions with variance analysis

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real AI strategy problem — a board mandate to build AI capability, competing use case priorities, governance gaps, a failed pilot you need to avoid repeating. It thinks like a seasoned transformation leader who's guided organizations from exploratory pilots to enterprise-scale AI programs and learned from both wins and scars.

Bundles or prompts related to AI governance, enterprise transformation, and technology strategy.