Reliable self-service analytics
I help data teams turn the reporting bottleneck into trustworthy self-service, for people and AI agents alike.
Self-service was supposed to free your analysts from the ad-hoc SQL treadmill. Instead, answers nobody can trust keep the bottleneck firmly in place. The fix is not a smarter model. It is context.
What I work on
Trustworthy answers from your structured data. Governed semantic and context layers, so a business user and an AI agent reach the same number, to the cent.
Turn unstructured documents into structured data you can actually trust.
The semantic backbone that connects your data, your documents, and your agents.
Featured writing
Reliable self-service is a context problem, not a model problem. The anatomy, layer by layer, built on a zero-cost stack, gaps included.
Read the anatomy →More deep-dives coming: procedural skills and offline evals.
I'm a data and AI engineer focused on making analytics trustworthy, for the people who use it and the agents that now query it. I build governed semantic and context layers, work on document AI and knowledge graphs, and write about what actually holds up in production, gaps included.
Gaël Mukunde