A Private AI Service Needs Clear Decision Rights
A proposed operating agreement for intended use, change, protective suspension, resumption and retirement, with unassigned responsibilities and explicit evidence requirements.
20 Essays on Leadership, Enterprise AI, Operations, and FinOps
A candid, unfiltered look into the mechanics of running high-velocity technical organizations and production AI architectures. Lessons learned from rescuing failing projects, scaling teams aggressively without losing culture, deploying offline-first distributed ERPs, and managing technical debt with financial discipline.
A proposed operating agreement for intended use, change, protective suspension, resumption and retirement, with unassigned responsibilities and explicit evidence requirements.
An inspectable material account separating period flows, opening and closing stock, residue and unexplained differences, with a synthetic offline reference.
Distinguishing zero, absent, stale, suspect and late telemetry at a declared decision boundary, with an offline synthetic classification reference.
A proposed method for restoring compatible model, retrieval, permissions and application releases, with explicit readiness evidence and unexecuted rehearsal scenarios.
Select essays from this blog are syndicated and featured across leading technology leadership publications and newsletters.
Available for fractional executive leadership, enterprise architecture consulting, and board-level technical advisory.
Initiate Dialogue ↗