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They have an
execution problem.
I build AI that earns its place — production systems that automate what drains time, surface what matters, and generate return you can measure.
Outcomes,
not deliverables.
The work looks different every time. The approach is always the same — identify the highest-value problem, validate it fast, then build to last.
The Governed AI Stack.
The Governed AI Stack is the architecture layer that makes AI safe to deploy in your business — every service I deliver and every project I've shipped is built on it.
Real work. Real outcomes.
A team of engineers was losing 2–3 hours every shift searching dense, multilingual technical documentation — specifications, maintenance manuals, compliance records. Search was keyword-only, and mixed-language content meant critical information was routinely missed or mis-retrieved.
Built a RAG platform on top of the team's existing document store, adding OCR for scanned files, multilingual embeddings (multilingual-e5) for cross-language retrieval, and an agentic query layer that could break down complex questions and assemble multi-document answers. Token-aware chunking kept context accurate at inference time. The Knowledge Layer of The Governed AI Stack handled permission-aware retrieval so each team member only surfaced documents relevant to their role.
Document review time cut from 3 days to under 1 hour. The team reclaimed roughly 12 hours of engineering time per week — redirected to problem-solving rather than search.
What clients say about the work.
Thinking out loud on AI & delivery.
Practical perspectives on building AI systems that actually work.
Whether you're evaluating a new initiative, validating a proof-of-concept, or scaling something that already works — let's find out where AI pays off fastest.