Insights & strategy
Practical insights on AI strategy, implementation, and governance. From experience, not theory.
A practical framework for mid-size organizations planning AI adoption, covering readiness assessment, governance structure, pilot selection, and scaling from experiment to production.
AI governance often gets framed as bureaucracy that slows teams down. In practice, the organizations that govern AI well ship faster and with fewer disasters. Here is why.
Most AI pilots never reach production. The gap is not technical -- it is organizational. A playbook for moving AI projects from proof-of-concept to deployed systems that deliver measurable value.
The standard productivity metrics for AI are misleading. Real ROI comes from measuring decision quality, error reduction, and time-to-insight -- not lines of code or documents processed.
A comprehensive guide covering RAG pipeline development, from chunking strategies and metadata management to context windows and retrieval operations for production-grade AI systems.
Explores Universal Basic Income as a potential response to workforce displacement from automation, examining global experiments and whether unconditional payments can provide security in an AI-driven economy.
Discusses transitioning from generalist to specialist consultant, offering actionable strategies for defining niches and building expertise authority.