Using AI When the Best Models Aren’t Allowed to See the Most Important Data
How enterprises can use AI when sensitive data cannot go to the strongest cloud models: problem contracts, controlled contexts, and verified outputs.
Articles
Long-form analyses on systems engineering, product development, decision work, and evidence in complex technical organizations.
The recurring thread: how requirements, architecture, evidence, and collaboration can be connected so teams make better decisions in real projects while staying deliverable.
Open Loop Life: Why AI agents suddenly make our open loops visible
How AI agents turn open tasks into dynamic loops and why Decision Debt, Orchestration Tax, and new attention obligations emerge.
SysML v2: More precision instead of simplification — why that’s good (and what it costs)
Why SysML v2 enables more precision and testable claims without making the complexity of technical systems simply disappear.
Nexus V: A new, decision-centered view of the V-model in regulated industries
A decision-centered interpretation of the V-model: traceability as a knowledge graph, arbitration, anchor points, and continuous compliance.
