Keystone Evidence of the model

The AI employee operating system.

Keystone is the runtime a single governed AI employee runs inside. It is not the headline. It is what the operating model looks like when you make it real enough to run in production.

What it is
One runtime for one governed AI employee.
What it enforces
The discipline, the gate, and the ledger.
Where it runs
Your cloud. NIST 800-171 r3 controls.
The thesis

One runtime. Not ten tools bolted together.

The common way to deploy AI is to wire a model to a dozen services and hope the seams hold. Every seam is a place where nobody is in charge and nothing is written down.

Keystone collapses that into a single runtime. The discipline loads before the AI acts. The gate sits on every irreversible step as plain code. The ledger records each decision, signed and hash-chained, and the model is denied from writing it.

One place to run the employee. One place to check what it did.

Point the operating model at a greenfield build and it produced Keystone. Point it at legacy modernization and it produced Refactory. The reasoning behind both is the problem they answer.

The evidence

It ran. Here is the record.

Not a demo. A governed AI employee stood up in a real cloud account, under real controls, serving real load.

The throughput and latency are broken out on performance. Every decision the employee made lands in the register, signed and hash-chained, and you can verify it yourself.

41 hrs
from empty account to a running, governed employee.
153
AWS resources provisioned and accounted for, by code.
173 rps
sustained throughput at a p95 of 317ms.
Compliance posture
NIST 800-171 r3
Controls mapped and enforced in the runtime, not promised in a slide.
Cost to run
~$10K vs $13M to $29M /mo
What the runtime costs to operate, against the loaded cost of the headcount it stands in for. Price your own bill.
Inside the engagement

Four phases. The one that matters is Deploy.

Framing and building are table stakes. Deploy is where governance stops being a document and starts being enforced code in your account. Keystone is the Deploy phase of the engagement The Seat guides, and once it is live the employee runs in the office.

01

Frame

We write down what the employee is responsible for, what it may never do alone, and where the gate falls.

02

Build

Context is built as infrastructure. The runtime, the ledger, and the gate are assembled and tested against the frame.

03

Deploy

The employee goes live in your cloud under NIST 800-171 r3 controls. From here on, every decision it makes is on the record and every irreversible one waits for you.

04

Transfer

Your leader takes the seat. We hand over the runtime, the record, and the discipline, then step back. Or your people learn to run it from the start.

Thirty minutes

See what one governed
employee would run.

We walk the runtime, the ledger, and the gate against a job you actually need done.

Book the first conversation
Read this before you believe any of it. The platform is a running prototype, not an accredited or certified system. The register, the war room, and the brain are receipts, not revenue. Every claim on this site links to something you can check. If one doesn't, tell us, and we'll fix the page.