Answers are free.
Accountability isn't.

Before a person puts their name on AI work, they need three answers. Who acted, and who approved it. Where it ran. Why it was done. The Jungle, Warden and Canopy are those three answers, on the record.

Free AIR Snapshot · 5 minutes · 10 questions · your score on the spot

The answer went to zero. The signature didn't.

For a century, expertise was priced by what you knew. AI is pricing that layer toward nothing — the research memo, the boilerplate contract, the first draft of the code.

What's left is the part a machine can't hold: responsibility.

Clients, regulators and boards don't ask whether AI was used. They ask who stands behind the result. That person needs a record they can trust — not a chat log, not a vendor's promise.

Who acted, and who answered for it.

Every agent in the Jungle has a name, an owner and a set of things it may do. Everything it does lands on one record a person can read.

01

Every agent has a name

Each team's AI is a named agent with an owner and a scope. Not a shared API key. Not an anonymous bot.

02

Every action has an approver

What an agent may do on its own, what needs a person, and what it may never do — set by people and enforced by the Jungle, not left to a prompt.

03

Proof a person was there

Privileged acts can require step-up proof from the person themselves, not just a session someone left open.

04

Every answer shows its reads

When an AI worker reports back, the reply says what it actually read. An answer grounded in nothing is labelled as exactly that.

05

Secrets the platform can't open

Private knowledge and environment secrets are encrypted on your machine. The Jungle carries ciphertext it cannot read, and access is granted person by person.

06

Every note has an author

Shared project memory records whose note it is. A teammate's addition stays proposed until the owner accepts it.

The ground it runs on.

An answer is only as sound as the place it was made. Warden watches that place, so the record isn't built on sand.

01

A baseline, not a scramble

Cloud accounts, identities, access and technical controls, checked against a baseline — not rediscovered every audit season.

02

Findings with evidence

Every finding carries what was checked, when, and what was seen. A person decides what happens next.

03

Reads, never changes

Warden works through read-only access. It reports; people change things. The watcher can't become the risk.

Why it was done.

Six months on, "why did we do that?" deserves a better answer than a shrug. Canopy keeps the thread from intent to result.

1
Objective
What success looks like, written down before anything is built.
2
Plan
The work broken into phases, each tied back to the objective.
3
Decision
What was chosen, what was ruled out, and who made the call.
4
Outcome
What shipped and how it was verified, against the objective.
"Nfinit Monkeys using Canopy saved me over $75,000 of development costs in a version upgrade."
— Tom, CEO, Healthcare
Visit canopymethod.ai

Where do you stand?

The AIR Snapshot scores your AI readiness across operating model, commercial resilience, talent, governance and tooling. Ten questions, five minutes, your score on the spot.

AI writes the answers. We put a name behind every one.