A practice built on two decades of regulated data.
LuAir is built on a conviction: data governance fails when it's delivered as documents and committees, and works when it's installed as a running operation. That conviction became Solo, our enablement method — published in full, method, canvas, and worked use case, free to read.
Built in regulated data.
LuAir comes out of more than twenty years inside global asset management firms — certifying critical data, enforcing data quality frameworks, and delivering the data side of regulations like Dodd-Frank and MiFID II.
That career produced a specific frustration: governance that lives in binders decays, while governance that lives in a working operation compounds. LuAir is the answer — Solo, where capability is installed rather than presented, and Provenance, where every line of software traces to a rule someone owns.
The practice runs on four convictions:
- Capability is installed, not presented.
- Every rule has exactly one owner.
- A specification is precise enough to build from.
- Nothing is claimed until it has run on real work.
Where LuAir works.
Data operations & governance
Critical data certification, quality rules and frameworks, ownership models, issue resolution — installed as working capability inside your team.
Business analysis & specification
Requirements decomposed into owned business rules and machine-checkable use cases — specifications precise enough for a developer or an AI to build from.
Governed AI delivery
AI accelerating specification, code, and validation — under the same rules, approvals, and audit trail as any human contributor.
Regulated-industry readiness
Built in financial services, where "show me why" is a daily question — and transferable anywhere audits, regulators, or risk teams ask it.
See the thinking in action.
How it works and Provenance show the models themselves — or start with seven questions about your own operation.