Designing Enterprise AI Systems Beyond the Prototype
A practical architecture lens for moving enterprise AI from a convincing demonstration to a governed, observable, and operable system.
Insights
Notes for people making lasting technology decisions.
Practical perspectives on enterprise AI, architecture, platforms, governance, and modernization.
↗
What Responsible AI Architecture Actually Requires
Responsible AI becomes practical when principles are translated into system boundaries, controls, evidence, and accountable operating roles.
RAG Is an Architecture Problem, Not a Vector Database Problem
The difficult parts of enterprise retrieval concern authority, access, lifecycle, evaluation, and user trust—not only similarity search.
Designing Reusable Digital Platforms for Large Organizations
A platform creates value when it reduces repeated decisions while preserving the autonomy teams need to deliver useful services.