Shared Oxygen Advisory
AI That Answers To Enterprise Governance.
Align AI investment to capital discipline, risk ownership, and measurable operating value.
Executive Operating Model
Four disciplines leadership uses to govern AI—from investment through production.
Where AI investment ties to capital discipline and operating priorities.
Authority, evidence, and named ownership before anything reaches production.
Data and systems that can support agents and analytics at scale.
Bounded pilots with oversight—not open-ended experimentation.
Advisory Portfolio
Independent Perspective, Informed By Experience
Executive Briefing
Latest Points Of View
Outcomes Per Token Is The Board-Level KPI
Shared Oxygen ran 3B tokens across frontier, mid-tier, and local LLMs as deliberate research into AI economics — roughly five developer-years of usage. Token volume is a poor proxy for value. Outcomes-per-token is the real board-level KPI, and model tier selection is a capital allocation decision. Not a usage story — an evidence story. Can you defend what you're spending?
The Rise Of Tokens As A Strategic Imperative
Tokens are becoming a balance-sheet line item alongside payroll. Engineer costs rose 40% over a decade while advanced model token prices collapsed by up to 900x annually—reshaping budget allocation, workforce strategy, and competitive position for executive teams.
Operating System
Engagements Anchored In Three Disciplines
Strategy & Mandate
Where AI and data investment ties to capital discipline, ownership, and risk.
Governance & Architecture
Judgment on platforms, data estates, and controls before commitments harden.
Evidence & Cadence
How leadership reviews progress—without prescribing a fixed delivery model.
Partner Engagement
AI That Answers To Enterprise Governance.
Share the mandate and constraints. An initial conversation to understand what counsel would be useful.
