Insights
Notes from production
What we have learned building agentic AI, retrieval and data systems for regulated teams. Written by the engineers who did the work, with the trade-offs left in.
Saudi PDPL for AI systems: a checklist for banks
What the Saudi Personal Data Protection Law means for AI in banking: impact assessments, transfers outside the Kingdom, breach notice, credit data, logs.
Read-only by policy: making text-to-query safe in a regulated data estate
Why a prompt that says 'only read' is not a control, and the five design rules we used to ship natural language analytics over life sciences data.
What production-ready means for an agentic AI system: a checklist
The checks we run before an agentic AI system goes live: tool contracts, budgets, evaluation, tracing, human approval and a clean way to swap models.
Start with a two to three week assessment
Send us the problem and the constraints. You get a written architecture, a risk register and a costed roadmap, and you keep them whatever you decide next.