Software with a chain of custody.
When an auditor asks "why does this code do that?", most teams reconstruct the answer from memory. GPS is LuAir's delivery method — and its own working product — where the answer already exists: every line traces to a rule someone authored, approved, and still owns. Including when AI wrote the line.
From requirement to release, nothing unexplained.
A requirement becomes owned business rules. Rules become machine-readable use cases. Use case steps become code blocks that carry their step's identity. Validation re-reads the entire specification against the artifacts — nightly, and on demand.
Four workstreams. One convergence gate.
From one product specification, four workstreams execute in parallel — finding the data, shaping the output, embedding the controls, building the product. Nothing ships until they converge and a human approves.
What makes GPS different from "we document things."
Specifications machines can check
Use cases are written in a governed syntax with a controlled vocabulary — so conformance is a computation, not a review meeting.
AI under the same law
AI drafts specifications, writes code, and runs validations — and every one of its changes traces to an approved rule exactly as a person's would. Speed without surrendering the audit trail.
Validation that never sleeps
An independent check re-reads every rule as written and tests the artifacts against them on a schedule. Violations surface as recorded incidents — with the fix, the date, and the release they shipped in.
Releases that carry their history
Every release is stamped with the exact source that produced it and writes its own record — target environment, timing, configuration — to durable storage.
Built for teams whose software has to answer questions.
Regulated industries, AI-assisted delivery, systems where "why does it do that?" needs an answer with a name and a date on it. If that's your world, let's talk.