AI work fails when it starts with a model and looks for a problem. We start with the daily work: which documents, which queue, which decision you want faster or cleaner. Then we scope a small, useful build.
Typical work includes internal assistants, document reading and simple automation. The people who build it come from the same bench we already interview. We do not sell open-ended research retainers.
- Workflow first, model second
- Assistants, document intelligence, internal copilots
- Tight scope with a written outcome
- Squad drawn from assessed engineers
- No open-ended “AI exploration” by default