The operating graph for the agent era

See where AI agents fit in your company.

Graybox models your entire company as one typed graph, then scores every activity on an autonomy ladder — so you know where to point automation today, and exactly what's blocking the rest.

Live model: Voltforge — a 45-person electronics factory · 369 typed entities
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01 — The problem

You were told to deploy agents.
But where?

Every team is under pressure to put AI to work. But a company isn't a to-do list — it's hundreds of interlocking activities, owners, hand-offs and constraints. Without a map, you automate the easy demo and miss the real leverage.

01
Pilots stall

Demos die on contact

A promising prototype meets the messy reality of who actually does the work — and quietly stalls in the gap between a slide and the shop floor.

02
Wrong target

You automate the demo, not the business

The flashy use case gets a bot. The load-bearing, high-leverage work that actually moves the company stays invisible.

03
Invisible blocker

Nobody can name what's in the way

Is it the model? The data? Permissions? Without naming the constraint per task, every "AI readiness" debate is just vibes.

02 — The model

One company. One graph. Eight facets.

Graybox turns a whole organization into a single, typed operating graph — not a drawer full of slide decks. Structure, work, the resources that flow between activities, goals, capabilities, governance and knowledge, all in one model you can actually query.

Structure
Who's who — org units, roles and the agents that fill them.
Value flow
Activities and the resources they produce and consume down the line.
Coordination
Processes, control loops and the hand-offs that hold it together.
Capability
What the org can actually do — and how well it does it.
Environment
Customers, partners and the market forces pressing on the work.
Governance
Goals, requirements and policies the company answers to.
Delegation
How much autonomy each activity can hold — and what caps it.
Knowledge
The docs, SOPs and rules that govern how the work runs.
03 — The mechanic

Every activity, scored on an autonomy ladder.

Graybox rates each activity from inform to fully autonomous — and names the single constraint keeping it from going further. Not a fuzzy "AI score". A specific verdict, per task, grounded in the documents that govern the work.

← Human-heldAgent-run →
Inform
The agent surfaces information. A human decides and acts.
Recommend
The agent proposes a course of action. A human approves and acts.
Act w/ approval
The agent acts — but only after a human signs off first.
Act & report
The agent acts on its own, then reports back what it did.
Autonomous
The agent owns the loop end to end. No human in the path.
04 — The payoff

The blocker usually isn't intelligence.

Point Graybox at a real company and the uncomfortable truth shows up fast. Here's a complete model of Voltforge, a quick-turn electronics factory — every number below is read straight from the graph.

The blocker isn't capability

Graybox names that blocker, per activity — so you fix the cheapest constraint first and unlock the work that's been quietly stuck.

What's blocking the work that isn't autonomous yet

Explore this model — switch lenses, hover any activity
05 — How it works

From company to map in three moves.

01

Model the org

Point Graybox at the real artifacts — org chart, handbook, SOPs, transcripts — and extract one typed graph across all eight facets.

02

Score the work

Every activity gets an autonomy verdict and its binding constraint, grounded in the documents that actually govern it.

03

Act on the map

See where agents can run the work today, what to fix to unlock the rest, and where the real leverage hides.

06 — Why Graybox

Built like infrastructure, not a dashboard.

Local-first & git-native

Your org chart never leaves your repo

Every organization is a folder of plain, diffable JSON — version-controlled, reviewable, yours. No hosted backend to trust with how your company really works.

Literature-grounded

Rigor you can defend in a boardroom

The ontology stands on agency theory, levels of automation and the viable system model — not vibes. The autonomy verdict has a method behind it.

Names the blocker

A constraint, not a vibe-score

Not an opaque "readiness %". A specific binding constraint per activity — access, verifiability, consequence, authority or stake — so you know what to actually fix.

One model, not slides

One source of truth for the whole company

Structure, flow, governance and delegation in a single queryable graph — so the answer is consistent no matter who's asking or which team owns it.

07 — Who it's for

Whether you run the company or automate it.

Operators & founders

Find the leverage, not the hype

You feel the pressure to "use AI" but can't see where it pays off. Graybox shows you the highest-leverage work to delegate first — and the cheapest constraint to remove to unlock more.

AI & automation builders

Ground truth before you deploy

You're putting agents into a business you don't have a map of. Graybox hands you a typed model of the work, the hand-offs and the guardrails — so your agents land where they'll actually stick.

Early access

Find out where agents fit in your company.

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