LuAir Governance

Someone just handed you the data problem. Here's the working answer.

LuAir installs a working data operation inside your team — owned by named people, run to an explicit standard, and provable to an auditor on demand. The complete method is free to read before you spend anything.

Assess your readiness See how it works
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What LuAir does

Two ways to engage. One underlying system.

Whether the problem is data nobody owns or issues that never close — the fix is the same working pattern, installed at the size you need.

weeks
01

Install the operation

In weeks, not quarters: Solo installs a small working unit inside your team that receives data issues, resolves them to a defined standard, and proves its own state at any time. Built around the data you care about most right now — your team runs it independently when we leave.

How it works →
seven steps · one gate · eight problem types
02

Run the services

Ongoing operational work delivered to playbooks with defined exit criteria: issue resolution across eight problem types, risk assessment, standards deployment, and certification — through one universal seven-step process.

The ongoing services →

The same discipline governs how we build software — every line of code traces to a rule someone owns. Provenance →

Use case 01 · Node Zero

A node staffed by an AI agent.

A documented node is a documented AI agent — the operator changes, the pattern doesn't. Node Zero is the complete worked example: the Node Canvas filled in for an intake operation staffed by an AI agent — a written role, rules with named owners, an orchestrator it escalates to, and the graduation criteria the design must meet.

See Node Zero → Read the use case (PDF)
How we work

Principles we don't trade away.

01

Success means you don't need us

Every engagement is designed to end with your team running the operation independently. Dependency is a failure state, not a revenue model.

02

Start with what hurts now

No six-month discovery, no enterprise-wide inventory. We start with the data you care about most today and let scope earn its way in through real work.

03

Capability, not documentation

A binder never resolved a data issue. Your people learn by handling real work through a working system — the records write themselves as a byproduct.

04

One discipline for people and AI

The same rules, the same approvals, the same audit trail — whoever or whatever does the work. AI accelerates the operation; it never escapes its governance.

Grounded in practice

Built by practitioners.

LuAir's methods come from two decades governing data inside global asset managers — and every method we sell is published in full, down to a complete worked use case, free to read.

20+ years
of enterprise data practice in regulated financial services — certification, quality frameworks, and regulatory delivery.
7 steps
one universal resolution process covering eight distinct issue types, from quality defects to regulatory change.
Every line
of software we ship traces to an authored, approved rule — with validation that re-checks the whole specification nightly.
Where to start

Seven questions tell you where you stand.

The readiness assessment takes a few minutes: one question per backbone capability, in plain business language. Three of the seven, verbatim:

  • "When something goes wrong with your most important data, who handles it?"
  • "When someone discovers a data problem, where does it go?"
  • "How do you know when a data problem is actually fixed?"

You'll see the shape of your operation — what's absent, what's emerging, what's already working.

Take the assessment Start a conversation