One pattern that runs at every scale.
Solo doesn't deliver reports about how your data should be managed. It installs a working unit that manages it — seven capabilities, running on the data you care about most, proven on real work until your team operates it without us. This page is the model underneath every Solo engagement.
A network of nodes, one orchestrator.
A node is the operation you install inside a boundary drawn on your existing org chart — around one role, one team, or a whole department — staffed by people or agents, not defined by them. The pattern is the same at every size. Nodes connect to an orchestrator that routes work, escalations, and status between them — and the orchestrator is itself a node, with the same seven capabilities inside.
Build the node. Then run the services on it.
Everything LuAir does is one of two things: installing the capability, or delivering the work that runs on it.
Seven steps. Eight kinds of problem. One workflow.
Every data issue — a quality defect, an ownership dispute, a regulatory change — moves through the same seven steps. Only the questions change. One process to learn, one to measure, one to automate.
Document a node and you've documented an agent.
An AI agent is instructions, skills, and tools. A node is documented as roles, capabilities, and process. They are the same design at different levels of automation — so the playbook that installs your human operation is, word for word, the specification a governed agent can be built from. Nothing is bolted on afterward: the agent is born from the governance.
The complete worked example — Node Zero, staffed by an agent →
The same discipline governs how we build software — every line of code traces to a rule someone owns. Provenance →
Seven questions map your operation to this model.
The readiness assessment shows you the shape: which capabilities are absent, emerging, or already functioning.