Pre-launch · taking design partnersPermission layer for AI agents

Agents can act. Now prove they were allowed to.

Every agent action carries a signed token naming its scope, its budget ceiling, and its expiry — verified at the call site, before anything reaches your systems.

Signed tokensECDSA P-384
Replayable audit logEvery action reconstructable
Kill switchImmediate, system-wide halt
01 — What we solve

Two kinds of work, one governance model.

An agent can move money, change a production system, and act on a customer's behalf. The tooling around it was built to observe — dashboards, traces, logs read after something has already happened.

What's missing is not capability. It's authorization — and it has to hold for automated work and one-off asks alike.

Inside the loop

Automated doesn't mean ungoverned.

Repetitive, always-on operational work runs continuously through the automation layer. Every action it takes still carries a signed token naming its scope, its ceiling and its expiry — the same one a person's request would carry.

Outside the loop

No waiting for the next cycle, no blank context.

A one-off ask, a draft, a question — handled by an agent grounded in the same live, continuously synced memory the automation layer keeps, scoped to what that person is permitted to see. Nothing has to be re-explained to a fresh assistant.

One enforcement layer. Whether an action is looped or one-off, the same signature, scope, ceiling and expiry are checked before it runs — not two trust models for two modes of work.

02 — Solution

Enforcement at the call site, not review after the fact.

Skylize sits between an agent and the systems it touches. Each action presents a token that names what it may do, how much it may spend, and when the grant expires. The signature, the scope, the ceiling and the expiry are checked before execution.

If the token does not verify, the action does not happen. The failure mode is closed.

Two views onto that enforcement run today. Pick the one built for you.

For whoever's accountable for what agents do.

Command Console

Kill switch, audit log, live scope and permission visibility.

See the Command Console →
For the people working alongside it.

My Day

What got done overnight, what's waiting on a decision, and a record nobody can edit after the fact.

See My Day →
03 — How it works

Four steps, every action.

Operators watch this run in the admin console. The employee-facing counterpart, My Day, shows the same enforcement to the person the agent works for.

01

Grant

A scope, a budget ceiling and an expiry are written into a token and signed. Gated scopes wait for a named human to approve them.

02

Present

The agent presents its token with every action it attempts. There is no unauthenticated path to the systems behind the layer.

03

Verify

Signature, scope, ceiling and expiry are checked at the call site, before execution. If any check fails, the action is refused.

04

Record

The action and its delegation chain are written to a replayable log, so who authorised what can be reconstructed after the fact.

04 — Controls

Five enforcement points.

A token names exactly what may happen.

Scope is written into the grant and signed. An agent holding a token for one action cannot present it for another, and the token stops working when the grant expires.

Specification
Signature
ECDSA P-384
Verified at
Call site
Scope
Per grant
Failure mode
Closed
05 — Status

This is where the logos would go.

Proof over promises. No case studies. No SOC 2 badge. Rather you know that up front than find out later. What you can see: the enforcement layer, actively in build, and the two console screens on this page — running today, not mocked up for a pitch. We're looking for a small number of design partners to build this with, not a waitlist.

What a design partner gets

Direct access to the engineer building it

Not a support queue. The person writing the enforcement layer answers you.

Influence over what gets built next

The controls your deployment needs move up the roadmap ahead of the ones it does not.

Deployment against your real agent stack

The layer is put in front of agents you are actually running, not a sandbox demo.

Apply as a design partner →
06 — Questions

The objections, answered.

07 — Apply

Apply as a Design Partner

Reach out directly at skylize.ai@gmail.com