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Peak Atlas

Peak Command · AI governance

AI governance for running a company
rules first, then help.

How to decide what AI may read, suggest and do in your management: risk classes, approvals, evidence. With the honest status of Peak Command.

Where do you want to make progress?

Split actions into classes: read, write, money, publish, delete, admin.

The learning path below opens the same step.
Set rules in three steps
Today in Peak Command
Rule-based brief and Top 3
Planned
Ask, agent, AI brief
Principle
Approval by risk
Your learning path

Read. Suggest.
Approve.

  1. 01Sort actions by risk
  2. 02Set approvals
  3. 03Demand evidence
Local learning preview · no product action
The starting point

AI gets the rights of a person, no more.

Good AI governance separates what AI may read, what it may suggest and what it may carry out. The bigger the effect of an action, the stricter the approval. In Peak Command the brief and Top 3 are rule-based today and name their rule. Asking in your own words, a Command agent and an AI brief are planned. This guide helps you set the rules beforehand.

Prepare → open → check

What you settle first.

  • A list of the decisions you make regularly
  • Who in your team may approve what
  • Which data is confidential and must never go to a language model

The learning path

Clear AI rules in three steps.

Local learning progress
Step 01

Sort actions by risk

What can go wrong?

  1. Split actions into classes: read, write, money, publish, delete, admin.
  2. Give each class a level: low, high or critical.
  3. Example (fictional): suggesting a task is low, changing an ad budget high, deleting data critical.
How you recognise the result

A table of action classes and risk levels.

The mark only confirms your selection in this learning view.

If you get stuck

Common questions about AI.

Does Peak Command use a language model today?

No. Brief, Top 3, tensions and decision candidates are rule-based today, and every line names its rule. An AI brief, asking in your own words and a Command agent are planned.

May AI in Peak One see more than I do?

No. In Peak One, AI has the same permissions as the person it works for. The check happens on the server, not only in the interface.

What happens if AI fails?

The rule-based parts keep running. A good rule for your team: no decision may stall just because an AI service does not respond.

Your quality check

Before AI works for you.

Tick what you have checked. Your selection stays in this view only.

00/ 03your checkpoints

0 of 3 points checked

Before AI works for you.
Sources & context

What this article is based on.

Method based on Peak One's principles: AI with the same permissions as people, separate read, write, money, publish, delete and admin rights, approval by risk. Peak Command status: rule-based brief today, AI capabilities planned. Examples are fictional.

  • Evidence pending

    Editorial guide based on the product as it is today. Examples are fictional; no customer data, no measured values.

The next step

The approval checklist for agents.

Before any agent, check what it may do and who approves.

Frequently asked questions

Does Peak Command use AI today?

No. The brief and Top 3 are rule-based. Asking in your own words, a Command agent and an AI brief are planned.

Which actions need approval?

Everything with high impact, such as money, publishing or deleting. Critical actions also need an audit trail and a simulation.

May AI see more than I do?

No. In Peak One, AI has the same permissions as the person it works for.