Four practice lines
Nothing proposed that has not been built.
Nothing promised that cannot be measured.
01.
Fractional CTO & AI Leadership
Senior technical leadership on a fractional basis: architecture ownership, AI/data strategy, build direction, and executive translation for companies that need a CTO’s judgment without a CTO’s headcount. Typical shape: 10–20 hours weekly, 90-day initial engagements, architect-and-director model directing your team or our vetted bench. Starts with a scoped conversation and a written 90-day plan with defined deliverables.
02.
AI Readiness & Architecture Assessment (fixed-scope)
A two-week, fixed-fee diagnostic that answers what your data and systems can honestly support before you commit to a build: architecture audit, data landscape review, governance and risk-tier recommendation, and a costed roadmap, with honest boundaries on what is not yet feasible. Deliverables you can execute with us or with anyone. The de-risking step most AI programs skip, and regret skipping.
03.
AI & Data Delivery Programs
End-to-end delivery of governed AI operating layers: systems integration with sources remaining authoritative, production automation, AI capabilities with evaluation harnesses and human-approval controls, and the measurement infrastructure to prove impact. Phase-gated, milestone-accepted, senior-led, with delivery teams scaled to the engagement. This is the method our case studies show in production.
04.
Executive Education & Advisory
AI literacy and decision-readiness for leadership teams, taught by a practitioner who has deployed what he teaches. University- and executive-education-tested instruction, board and investor briefings, and expert consultation on AI strategy, architecture, and diligence.
One operating model
Structural, not aspirational.
One operating model behind all four: senior architecture and direction, a vetted delivery bench scaled to each engagement, and phase gates with milestone acceptance, so scope, quality, and accountability are structural, not aspirational.