DEFINING OUTPUT GOVERNANCE FOR THE ENTERPRISE

AI-assisted software, built to standards a regulator expects.

When someone outside engineering ships an app, three questions usually go unanswered: is the number on the screen actually right, was the app allowed to touch what it touched, and can you prove either one on Monday morning. Groundwork answers this before the app leaves the gate.

Every claim on this page has machinery behind it. Ask us to show you.

THE CATEGORY REDEFINED

Most platforms check who is building
and where it runs.
We check whether what they built holds true.

We sit adjacent to, not inside, Gartner's Enterprise Vibe Coding Platforms category

THE HOUSE MESSAGE

Four pillars.

Why we built Groundwork from the ground up to be different.

  1. P1

    We check the answer, not the login.

    A build only ships when its numbers reconcile to the source system — to the cent, to the megawatt. Access control tells you someone was allowed to touch the data. That's a different question.

    Reconciled against the source system before the build ships.

  2. P2

    The AI stays at the front door.

    We use models for the conversation with the builder and nothing else. Once the spec is written, code comes from vetted blocks and the same spec produces the same bytes. QA on the result behaves like QA on any other software.

    One spec, vetted blocks, byte-identical output.

  3. P3

    Domain rules belong to domain experts.

    A grid engineer owns the grid rules. A controller owns the accounting rules. Not the IT admin, not a DLP profile. The platform contributes the parts the builder doesn't know they're missing.

    Rule ownership sits with the domain team, enforced by the platform.

  4. P4

    Governance stays on after launch.

    Every external call an app makes is declared, granted, and checked twice — once at build, once at send. Provenance is complete enough for an auditor. Monitoring is already wired up before day two; the builder never touches it.

    Declared at build, enforced again at send.

DIAGRAM · THE FLOW

AI strength and speed. No hallucinations.

01

Intake

The builder talks to a model. Anything ambiguous gets written down instead of guessed at.

02

Spec

A machine-readable description of what the app should do, what it's allowed to call, and how you'd know it's working.

03

Gate

The spec is checked against the domain's rulebook. It comes back approved or blocked — and a blocked result names the rule, the owner, and what to change.

five pinned inputs · byte-identical results

← AI stops here · determinism begins →

04

Engine

The spec is compiled into code out of blocks that have already been reviewed. The same spec always produces the same bytes.

05

Runtime

Every outbound call is checked against the grants the app was given. Provenance and monitoring are already there when it launches.

We built this engine based on real world experience.

Taking AI beyond parlor tricks and security risks is our mission.

Category-distinction

"But we already have Power Apps."

We aren't a tool. We are an enterprise readiness guarantee.

We build inside YOUR infrastructure preference and IT governance

Power Platform governs the Power Platform: its own artifacts, its own environments, run by IT. It'll tell you who touched the data. What it can't tell you is whether the number in the app agrees with the source system, whether the app is calling only the systems it was cleared to call, or whether the person who built it stayed inside the rules your grid engineers wrote. Those are the checks we do.

THE FAILURE NOBODY SEES

The app didn't break. It just stopped telling you the truth.

An analyst builds an asset registry on top of the company's data lake. It works. Over a year it quietly becomes the system of record for around a billion dollars of assets. Then a column upstream gets renamed, and tracked assets start disappearing from the app. No error. No alert. The report still renders, and it still looks right.

We treat that as an event, not an accident. When the data underneath an app changes shape, Groundwork names the change, names what it affects, and tells the person who owns that data. The figure it can no longer stand behind is withheld rather than guessed at — and the app says which one and why.

Told to us, unprompted, by the head of IT operations at an energy company.

WHAT WE WANT YOU TO ASK US ABOUT

A decision that looks fine, still needs to be verified.

The analyst who ran the model was confident. So was the model. A grid engineer looking at wetland proximity would not have been. Three things happen here, and only the middle one is visible: the vetted block makes the plausible-but-wrong call impossible to produce, the gate makes it provable, and the engine makes it impossible to act on.

gate · spec#4821 · siting
  • intent.assertion · load_forecast ≥ 40MW · pass
  • effect.grant · fetch:noaa.gov · granted
  • invariant · E7 setback ≥ 152m · pass
  • Grid Engineering’s rules · wetland_class III proximity 82m · blockedrule.grid_eng
owner: grid_engineering · not IT admins · rule namespace enforced

The rule that stopped this build belongs to Grid Engineering, not to IT.

And then the analyst changed jobs.

This is where citizen-built software usually dies. Nobody owns it, nobody knows what it touches, and it’s still on someone’s dashboard. Every Groundwork app is instrumented from launch — drift and degradation are detected and recorded — and it arrives with an owner of record and a named backup owner. The scorecard doesn’t die because the person who built it moved on.

The adoption promise

If the approved path isn't the fastest one, people route around it.

Previews are instant. When a builder needs a part we don't have yet, standard blocks land in about a week. You see what a permission will cost before you commit to it. None of this works if it feels slow.