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govrn · internal · the opportunity

For our eyes first.

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A question, before anything else

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.

01 — The reveal
govrn.ai
The standard for AI governance

Three lenses. One estate. The meter proves it pays.

Technology
Security
AI
+ The meter
02 — Why now

Everyone is integrating AI. Almost no one is governing it.

75%
of the world's economies reached by AI regulation by 2030, as it quadruples — Gartner
growth in board-level AI-risk oversight in one year — EY
#1
barrier to deploying GenAI: regulatory compliance — Deloitte

Every figure is fetch-verified in our sources & evidence registry. We never put a number on a slide we can't defend.

03 — The stakes

Boards have started asking one question. Most teams don't have an answer.

Q1"Who governs our AI?" — and can you show it, not just say it?
Q2Do you have an inventory of every place AI now touches a decision in your business? Most leaders don't — nothing existed to build it with.
Q3When a model's decision lands in a regulator's inbox, can you produce the controls that were in place — or only the ones you meant to build?

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.

05 — Governance that pays for itself

The part no competitor puts on the table.

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.

~$34K/mo
modeled AI spend on one engagement mirror
~$15K/mo
recoverable — right-sizing, caching, risk-tiered compute

Modeled from our own instrument. The meter brings the CFO and CTO to the table — not just risk and compliance.

06 — The model

We don't sell a product. We sell the outcome.

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.

See

Inventory across three lenses. Find the weaknesses, the shadow AI, the waste.

Prove

Standards-mapped, audit-ready evidence. We never self-certify — a separate, independent group reviews it. It holds up to a board.

Run

Stand it up and operate it — controls, monitoring, the meter. The confidence is the product.

07 — It's bigger than us already

A partner built the run-state from inside an account — independently.

Two builds, opposite ends, growing toward each other. We see and prove; it runs. Together, the full spectrum no one else offers.

govrn

The standard, the assessment, the independent review. See it. Prove it.

×

Aperture

The live command center — agents, spend, control plane. Run it.

Full merge map: internal / govrn × Aperture.

08 — The opportunity for us

This isn't a service line. It's a category we can own.

We own the brand

govrn.ai is ours — the standard, the name, the seal. License it, scale it, or hold it.

The wedge into whole accounts

Governance is the lowest-friction door — and the discovery hands us their entire estate.

Recurring, not one-time

Assess once, then stand up monitoring that stays in place — recurring, not one-time.

Productizable

The platform that delivers an engagement is a product others pay for.

09 — Where it stands today

Built. Unseen. And everyone who's seen a piece of it believes.

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.

10 — The offer

The first engagement: a fixed-fee baseline.

$150,000
fixed fee · fixed scope · ~3–4 weeks · no surprises
What they get
  • A full three-lens inventory of their AI estate — technology, security, AI
  • An AI bill-of-materials: every model, where it touches a decision, who owns it
  • The outside-in mirror — what their public footprint already reveals
  • A gap report mapped to NIST, ISO 42001, OWASP, MITRE, the EU AI Act
  • The cost & efficiency read — where AI spend is, what's recoverable
  • A prioritized remediation roadmap + an independent assessment
Why fixed-fee

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.

The strategic point

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.

11 — What it takes

The pod, the delivery, the outcome.

The pod
  • Advisory lead — runs the engagement, owns the readout
  • Security / SecOps analyst — the security lens + the toolchain
  • AI-governance engineer — the AI-BOM, the framework mapping, the meter
  • Delivery coordinator — sessions, gates, the document
The delivery
  • Week 1 — working session, access scoping, inventory begins
  • Weeks 2–3 — three-lens scoring, the mirror, the cost read
  • Week 4 — the readout: posture, roadmap, independent assessment
  • Human decision gate at every step — nothing scored without their context
The outcome
  • A board-ready posture they can act on
  • The document — their weaknesses, their inventory, in one place
  • The confidence to use AI — safer and cheaper
  • The map that defines exactly what comes next
12 — The journey

Phase 1 defines Phases 2 and 3.

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 1 · See
Assess
The fixed-fee baseline.
$150K · fixed
Phase 2 · Prove & Build
Design & Implement
Scoped from the discovery — stand up the controls, the registry, the guardrails. Often its own proposal.
scoped range, set by what Phase 1 finds
Phase 3 · Run
Operate & Maintain
Monitoring we stand up and maintain, with updates feeding back into their system — the deliverable stays alive.
recurring · the annuity

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.

13 — The sales engine

One message. Every rep. One change updates them all.

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.

Same engine carries every service — staffing through program management, plus AI governance. Adding a rep is one line in one file.

14 — The infrastructure

Leadership sees every rep's pipeline — live, without asking.

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:

Each rep

Their own dashboard — leads, affiliates, commissions, and how far every prospect got. open ↗

Leadership

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.

15 — The report they get

It all ends in one document.

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.

Illustrative, modeled outside-in — the shape of the deliverable, not a claim of fact. Real findings come from a scoped engagement.

16 — The pipeline, populated

And the moment they say yes, it's tracked.

The same two accounts, the day after they engage — moving through our pipeline, on our own infrastructure. Leadership sees it without asking.

ProspectEngagementStageBaseline
Grace HillChris Fontan · CTOAI GovernanceReady to sign$150K · fixed
BCBS of IllinoisDir, Software DevelopmentAI GovernanceProposal reviewed$150K · fixed

Live views: each rep's dashboard ↗ and the leadership roll-up ↗. Interested → proposal → agreement, every step recorded.

17 — The ask

One call. Then we make it a product.

Get everyone on one call

The people who'd carry this to market, in one room, walking this exact deck.

Validate it together

Pressure-test the offer, the pricing shape, the delivery model. Belief into a committed plan.

Make it a product

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.

Convert the warm doors

The two live conversations become the first paid baselines — the proof of concept.

18 — Who needs to be in the room

The coalition that takes this to market.

The validator

A former enterprise CIO

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 motion

MCG / Kelly leadership

The go-to-market engine and the delivery muscle. They carry it into accounts and run the build.

The build partner

The Aperture team

Already co-building the run-state from inside a live account. The merge just needs papering while it's small.

The proof accounts

Grace Hill · BCBS of Illinois

Warm, real, proposal-ready. They turn this from a pitch into a product.

19 — The close

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.

govrn.ai · v1.0 · live · let's get everyone on the call
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