A KOD.AI product

Let the AI run the company. Keep the authority.

Gorgos is an operating system for a company that AI actually runs: an AI CEO directing AI departments, with every outward action risk-classified, gated and written to a ledger you can audit.

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4,819

tests in the spine we run ourselves on

policy tiers: auto, owner gate, hard stop

production deploys without a human click

Decision ledger — append onlyrecording

06:40:02read_brain → daily_loopAUTOInternal reasoning. No outward effect, so it runs without asking.

Illustrative run, shaped from the real policy tiers and capability names in autonomy.yaml. Not customer data.

The operating loop

Work moves through seven stages, and stops at the seventh.

Most AI systems end at the fifth stage, where the action fires. The last two are the product: evidence attached to the decision, and a person who can still say no.

Signal

A mailbox, a failing test, a tender, a missed call.

AI CEO

Holds company state, decides what matters today, delegates.

Reasoning graph

A reviewed config, not a prompt. Cycles and critique loops allowed.

Departments

Role agents with a mandate, memory, tools, KPIs and a boundary.

Integrations

Mail, calendar, CRM, telephony, deploys, browsers.

Evidence

Tests, smoke checks, verifier reports attached to the decision.

Owner

You approve, reject, or change the policy that decided.

Supervision policy

You decide what it may do alone.

Autonomy isn't a slider between trusting and not trusting a model. It's a classification applied to each capability, and you own it.

LOW RISK

Auto-execute

Reversible, internal, inside an approved budget envelope. It runs, and it's recorded.

read_data
run_test_suite
deploy_staging
draft_reply

MATERIAL / HIGH RISK

Owner gate

Anything that reaches the outside world or can't be walked back. Prepared fully, then held.

send_cold_email
promote_to_prod
submit_tender
place_client_call

FORBIDDEN

Hard stop

Refused at the gate. Not queued, not draftable. Unblocking one is a deliberate, named act.

use_real_person_likeness
launch_paid_ad
mass_outreach_campaign

What's actually built

Claims we can point at.

We only put something on this page if it traces to something shipped. Everything else is on the roadmap, and we'll tell you which is which on the call.

The spine runs on itself

Gorgos is the system KOD.AI is run with. The daily loop, the delegations, the approval queue and this decision ledger are the company's actual operating record, not a demo fixture.

4,819 tests in the spine, collected 2026-07-27

Staging to production, gated

One promotion path is proven end to end: incident, fix, staging, full test, owner approval, production. Nothing reaches production on a green staging run alone.

Proven on opportunity-os

Every decision has a record

Each action carries the policy that classified it, the evidence that supported it, the runtime that ran it, and the rollback path. You can ask why afterwards and get an answer.

Append-only decision ledger

Policy is a file you can read

Autonomy is one reviewed configuration file, not behaviour buried in prompts. Change what needs approval by changing a line and reviewing the diff.

autonomy.yaml

Gorgos is early. It runs one company well — ours — and the governance layer is further along than the department library. If you need a finished product today, we're not it yet. If you want the audit trail to exist before the agents do, that's exactly the order we built in.

Who it's for

Companies where an agent's mistake costs something.

A gate is only worth having when the action behind it matters. That's the line we sell to.

Teams already running agents

You have coding, support or outreach agents in production and no single place that says what they did or who allowed it.

Healthcare and fintech operators

Your agents touch patients, money or regulated records, so an approval boundary is a requirement rather than a feature.

Software houses going AI-native

You want to run more delivery than you have people for, without giving up the review step that keeps clients.

Anyone writing AI governance down

You need an audit trail that already exists, rather than a policy document describing one you'd have to build.

Talk to us

Start with a shadow run.

The first deployment watches your existing agents and classifies what they do without gating anything. You see what would have been stopped before anything is. Turn on active gating when the log stops surprising you.

Built by Piotr Kram and Mariusz Kram at KOD.AI sp. z o.o. Write directly to info@kodai.com.pl if you'd rather skip the form.