Data operations · Governed AI delivery

Operations your auditors, regulators, and engineers can all trust.

LuAir installs working data operations inside your organization — owned by named people, run to an explicit standard, and provable on demand. The same discipline governs how we deliver software: every change traces to a rule someone approved.

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What LuAir does

Three ways to engage. One underlying system.

Whether the problem is data nobody owns, issues that never close, or software changes nobody can explain to an auditor — the fix is the same working pattern, installed at the size you need.

weeks
01

Install the operation

In weeks, not quarters: 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.

The operating model →
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 and readiness assessment, standards deployment, and certification — through one universal seven-step process.

The service catalog →
rule spec code every line answers "why" — even when AI wrote it
03

Govern the delivery

Software built so that every line of code traces to a business rule someone authored and approved — including when AI writes it. Specifications machines can check, validation that runs nightly, and releases that carry their own provenance.

Governed delivery →

A documented node is a documented AI agent — the operator changes, the pattern doesn't. Node today, agent tomorrow →

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, proven on ourselves.

LuAir's methods come from two decades governing data inside global asset managers — and every framework we sell runs our own operation first.

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