Leading AI from strategy to execution.
AI Technology Leader at the Israel National Digital Agency. Former CTO. Former Chief Data Scientist for TIMNA, Israel Ministry of Health.
I help complex organizations turn AI from executive intent into operational capability: platforms, governance, adoption models, production systems, and agentic transformation.
I write for leaders who want to understand what it really takes to move AI from experimentation to production at enterprise scale.
Published & Built At
Field Notes on Enterprise AI
A Four-Layer Method for Assessing AI Sovereignty
A use-case-first method for mapping the AI value chain, comparing current and required control, and choosing a proportionate sovereignty response.
AI Agent Regression Testing: Building a Production Release Gate
A practical framework for testing AI agents before, during and after deployment using golden scenarios, trajectory evaluation, grounding checks, canary releases and continuous monitoring.
What I Work On
I work with executive and technical teams on the decisions that determine whether AI reaches production: ownership, infrastructure, governance, delivery, and adoption.
Strategy & Operating Models
Helping large organizations decide who owns AI, which capabilities should be shared, and how projects move from experimentation into production.
Enterprise Agent Architectures
Designing agent systems for real organizational work, with identity, permissions, monitoring, cost controls, and clear points for human approval.
AI Decisions & Leadership
Connecting technical and policy developments to the decisions leaders make about AI adoption and implementation.
About Moshe
Moshe started in data and business, moved into applied healthcare AI and national health data platforms through TIMNA, then into private-sector CTO roles, and today works on government-wide AI adoption at the Israel National Digital Agency.
This path taught him that a model is only one part of an AI capability. Production also depends on infrastructure, governance, product decisions, and organizational change.
His current work focuses on the operating models and technical foundations that allow complex organizations to deploy AI and keep it working over time.
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Articles on AI in organizations and the public sector. Leave your email to hear when the next one is published, with no fixed schedule.
For a direct conversation, send me an email.