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Every enterprise is now spending real money on AI it cannot see, attribute, or prove — under a regulatory clock that is already running. govrn.ai is the category answer: a governance standard plus a deterministic measurement engine, on one record. A defensible standard, a working engine, an AI-first enterprise team, and a licensing model with a path to Microsoft.
AI adoption outran AI governance. Boards and regulators are now asking the same question — "is your AI governed, and can you prove it?" — and almost no one can. The market for the answer is forming fast, and it is being created by forces outside any vendor's control.
Market validation from the top: BCG just reported that 40%+ of its 2025 revenue is AI- and tech-focused, and BCG itself is ISO/IEC 42001 certified — the only premium consultancy, among the first ~100 organizations globally. The bellwether is all-in, and the standard we attest to is the one the market leader already adopted.
govrn.ai is two halves built for each other: a governance standard (the judgment a board, auditor, and regulator accept) and the Aperture engine (a deterministic system of record). The standard reads a typed, read-only view of the engine's record to render posture and attest — one record, two lenses, one source of truth.
Honest status. The engine and the standard exist today; the engine is deterministic and tested, and the seam between them is designed. Live customer measurement and enterprise hardening are the next build — staged through a first design-partner account. We sell the architecture and the wedge, not a finished platform — and the gap is the roadmap, not a surprise.
When an enterprise — or Microsoft — vets this, the question is "who is behind it?" The answer is a bench of AI-first, enterprise-grade operators, each owning a pillar.
Every category that touches this sees one slice. We hold all three, on a single record no competitor owns.
| Where buyers look | What they get | What's missing — and ours |
|---|---|---|
| Engineering / FinOps (DX, Jellyfish, CloudZero) | Productivity inferred, or cloud bills alone | No deterministic attribution, no governance, no shadow bucket |
| AI governance / GRC (Credo, OneTrust, ServiceNow) | Policies and self-reported inventories | No live attributed record, no independent attestation |
| Big-4 advisory | A point-in-time report | No running engine, no continuous proof, no productized standard |
| govrn.ai | Assess + attest + run, on one record | The only one covering all three — and the standard everyone else has to map to |
The moat is the standard plus the record. The engine is excellent but commoditizable; the durable asset is the independent attestation brand and the accumulated, attributed baseline history — which compounds the longer an estate is measured, and which a competitor cannot buy overnight. Independence is structural, by design: the arm that attests stays separate from the arm that builds — the same separation that lets an auditor sign books they didn't keep, and the reason the verdict is worth paying for.
The business is a licensing play on a defensible standard — and a recurring measured relationship underneath it.
A near-term partnership with MCG Kelly Services is a de-risked distribution channel and a live proving ground — a way to put the standard in front of real enterprise accounts fast. It is the first license, not the ceiling. The destination is enterprise licensing at scale, and the horizon is a Microsoft play — for which the team already holds the relationships.
The company, the team, the brand. The structure exists before any partner conversation.
Fold in the SME repository; spec the engine↔standard interface; scope the first design-partner account.
Assess → engine runs → attest. Modeled becomes measured; the architecture is proven on a real estate.
License the process, product, and brand through MCG Kelly Services as the first channel into enterprise accounts.
Enterprise licensing at scale, and the Microsoft play the team is positioned to open.
To stand up the entity, retain the founding bench, harden the engine to enterprise grade, and land the first design-partner accounts — the work that turns a proven architecture into a licensable, category-defining standard. Use of funds and terms to be finalized with Richard.
A defensible standard, a working engine, an enterprise team with Microsoft access, and a regulatory clock the buyer can't stop. We're building the thing every enterprise AI program will be measured against — and licensing it to the people who need it. The window is open now. This is the round that builds it.