AI strategy. Systems. Judgement.
Practical thinking on Data, Platforms, AI, and the systems that make them useful.
I write about responsible AI, Data Engineering, Architecture, and Technical Leadership as they show up in real work: messy systems, unclear ownership, and decisions that still need human judgement.
Featured publication
Applying the Practical Delegation Test
A short companion guide for practitioners deciding whether to use AI on a real task, how far to delegate, and what still needs human judgement.
Recent writing
View allTopics & practice areas
01
AI Strategy
Starting with the problem that actually needs to change, not the tool that happens to be fashionable this month.
02
AI Architecture
Thinking through how models, data, tools, and people fit together when the system has to keep working after the demo.
03
Data Engineering
Building the foundations that make better decisions possible: quality, lineage, governance, and data people can actually trust.
04
Responsible AI
Keeping accountability, safety, privacy, and governance visible as AI moves from experiment into everyday work.
05
Technical Leadership
Helping teams make clear decisions when the technical answer is only part of the real problem.