Insights
Field notes, not thought leadership.
Writing organized around the same three areas covered in consulting engagements below. New pieces are added as real engagements surface something worth writing up.
Strategy & Operations
Writing on where AI adoption actually pays off inside a business: process audits, decision frameworks, agent scoping, and the build-versus-buy calls that determine whether a project survives contact with the real organization.
Models & Infrastructure
Writing on the technical layer underneath AI products: voice agent design, open-weight versus proprietary models, compute strategy, and when RAG or fine-tuning is the right tool for a given problem.
Governance & Economics
Writing on the parts of AI adoption that get skipped under deadline pressure: inference cost control, AI risk inventories, and practical readiness for regulation such as the EU AI Act.
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