I design, build, and integrate bespoke AI systems — agentic, document-heavy, and operationally complex — that earn their place in production, not just the demo.
An AI system for regulated workplace-safety compliance that reads, cross-checks, and flags gaps across complex safety documentation — turning a manual, error-prone review into a fast, fully auditable one.
Agentic retrieval systems and LLM knowledge bases that answer from your own documents with citations — including an adaptive AI tutor that responds to how each learner actually progresses.
A multi-agent control architecture that coordinates perception, planning, and action across several independent systems working toward a shared objective.
This is a deliberately small practice. You work directly with the person who designs and builds your system — not an account manager, not a rotating bench. When an engagement needs specialised hands, I bring in trusted collaborators I’ve worked with for years. That is what “we” means here.
The first conversation is private and unbilled.
“The hardest part of enterprise AI is not the model. It is the quiet, careful work of making something a hundred people will trust on a Tuesday morning.”
I take on a small number of engagements each quarter. The first conversation is private, unbilled, and rarely shorter than an hour.