An internal deck — the whole picture, assembled. Use the arrows or ← → keys to move through it. Enter the access key.
Would you integrate AI into your company without governing it?
Every CIO and CTO is being asked to make that bet right now — usually without realizing it. We built the answer. Here's the whole thing, for the first time.
Three lenses. One estate. The meter proves it pays.
Every figure is fetch-verified in our sources & evidence registry. We never put a number on a slide we can't defend.
Boards have started asking one question. Most teams don't have an answer.
The flip that changes the conversation: the same work that lets you answer is what makes your AI cheaper. Governance isn't the compliance tax — done right, it pays for itself.
The public face of govrn.ai — owned, branded, live.
open govrn.ai ↗A live three-lens dashboard — inventory, posture, AI-BOM, the meter.
open the dashboard →Grace Hill & BCBS of Illinois, assessed from their public footprint. The demo that sells.
see the mirrors →Framework, assessment, playbook, gap-check — mapped to every standard.
open the method →Every statistic, fetch-verified with a live source and a date.
open the registry →The v1.0 case, panel-reviewed — the business story end to end.
open v1.0 →The same work that de-risks AI is what makes it cheaper. You can't right-size what you haven't inventoried. That's the meter — running in our product today.
Modeled from our own instrument. The meter brings the CFO and CTO to the table — not just risk and compliance.
Come in, inventory the estate, show them exactly where they're exposed, give them confidence to use AI — safer and cheaper. The ROI is the pitch.
Inventory across three lenses. Find the weaknesses, the shadow AI, the waste.
Standards-mapped, audit-ready evidence. We never self-certify — a separate, independent group reviews it. It holds up to a board.
Stand it up and operate it — controls, monitoring, the meter. The confidence is the product.
Two builds, opposite ends, growing toward each other. We see and prove; it runs. Together, the full spectrum no one else offers.
The standard, the assessment, the independent review. See it. Prove it.
The live command center — agents, spend, control plane. Run it.
Full merge map: internal / govrn × Aperture.
govrn.ai is ours — the standard, the name, the seal. License it, scale it, or hold it.
Governance is the lowest-friction door — and the discovery hands us their entire estate.
Assess once, then stand up monitoring that stays in place — recurring, not one-time.
The platform that delivers an engagement is a product others pay for.
The pieces are assembled, in one place, for the first time. Warm conversations open, real proposals built in their brands, a partner ready to co-build. What we don't have yet is us, aligned, on one call.
It's productized. The instrument, the playbook, and the dashboard already exist — so the price is predictable and the value is the same every time. A leader can say yes without a procurement fight.
At $150K it's priced like the serious, board-defensible assessment it is — a real enterprise decision, not a low-ball — and it's the door to everything after it.
The baseline isn't the end — it's the instrument that tells us, and them, exactly what they need next. We don't guess the big number. We earn the right to scope it.
Phase 2 and 3 numbers are set with leadership and earned from each Phase 1 — we never put a guessed figure in front of a client.
Every salesperson gets their own branded page — their photo, their voice, their LinkedIn — but the same vetted pitch underneath. When we sharpen the message, it changes once, everywhere. Each rep can also hand out affiliate links, set a commission, and we track exactly who brought what.
Managed Solutions
open his page ↗Consulting Services
open her page ↗Enterprise BD
open his page ↗IT Consulting
open his page ↗Same engine carries every service — staffing through program management, plus AI governance. Adding a rep is one line in one file.
It's all tracked on our own infrastructure — we own the data, no third party. Every open, every link sent, how far each prospect got, who their affiliate was. Two views sit on top of it:
Their own dashboard — leads, affiliates, commissions, and how far every prospect got. open ↗
The roll-up: every rep ranked, KPIs, active-or-quiet flags, click to drill in. Push where it's weak — in real time. open the roll-up ↗
A HubSpot export can be added later — the data's structured and it's ours. The whole go-to-market machine is already built.
Every baseline produces the same deliverable — three-lens posture, the AI bill-of-materials, the outside-in mirror, the cost meter, the standards gap, the roadmap. The report mirrors this walkthrough, section for section. Here it is, filled in for both proof accounts.
Prepared for Chris Fontan, CTO — training & compliance SaaS. Posture, AI-BOM, the Fair-Housing gap.
open the report →Prepared for their Director of Software Development — a regulated payer, mapped to CMS, NAIC & HIPAA.
open the report →Illustrative, modeled outside-in — the shape of the deliverable, not a claim of fact. Real findings come from a scoped engagement.
The same two accounts, the day after they engage — moving through our pipeline, on our own infrastructure. Leadership sees it without asking.
| Prospect | Engagement | Stage | Baseline |
|---|---|---|---|
| Grace HillChris Fontan · CTO | AI Governance | Ready to sign | $150K · fixed |
| BCBS of IllinoisDir, Software Development | AI Governance | Proposal reviewed | $150K · fixed |
Live views: each rep's dashboard ↗ and the leadership roll-up ↗. Interested → proposal → agreement, every step recorded.
The people who'd carry this to market, in one room, walking this exact deck.
Pressure-test the offer, the pricing shape, the delivery model. Belief into a committed plan.
Lock the outcome-based engagement: a document that tells a partner their weaknesses, their inventory, and gives them confidence to use AI — governed and cheaper.
The two live conversations become the first paid baselines — the proof of concept.
A leader who sat in the seat this is built for — who governed real technology risk at scale. When someone who lived that pressure says "this is what I'd have wanted on my desk," the room moves.
The go-to-market engine and the delivery muscle. They carry it into accounts and run the build.
Already co-building the run-state from inside a live account. The merge just needs papering while it's small.
Warm, real, proposal-ready. They turn this from a pitch into a product.
The question was: would you integrate AI without governing it?
No serious leader would. The standard for governing it now exists — we built it, we own it, it's live. The only thing left is to walk through that door together.